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<div class="navpath"><a class="el" href="namespaceitk.html">itk</a>::<a class="el" href="classitk_1_1AmoebaOptimizer.html">AmoebaOptimizer</a>
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<h1>itk::AmoebaOptimizer Class Reference<br>
<small>
[<a class="el" href="group__Numerics.html">Numerics</a>, <a class="el" href="group__Optimizers.html">Optimizers</a>]</small>
</h1><!-- doxytag: class="itk::AmoebaOptimizer" --><!-- doxytag: inherits="itk::SingleValuedNonLinearVnlOptimizer" -->Wrap of the vnl_amoeba algorithm.
<a href="#_details">More...</a>
<p>
<code>#include <<a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>></code>
<p>
<div class="dynheader">
Inheritance diagram for itk::AmoebaOptimizer:</div>
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<p><center><img src="classitk_1_1AmoebaOptimizer__inherit__graph.png" border="0" usemap="#itk_1_1AmoebaOptimizer__inherit__map" alt="Inheritance graph"></center>
<map name="itk_1_1AmoebaOptimizer__inherit__map">
<area shape="rect" id="node2" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html" title="This class is a base for the Optimization methods that optimize a single valued function..." alt="" coords="5,392,291,421"><area shape="rect" id="node4" href="classitk_1_1SingleValuedNonLinearOptimizer.html" title="This class is a base for the Optimization methods that optimize a single valued function..." alt="" coords="16,315,280,344"><area shape="rect" id="node6" href="classitk_1_1NonLinearOptimizer.html" title="Wrap of the vnl_nonlinear_minimizer to be adapted." alt="" coords="57,237,239,267"><area shape="rect" id="node8" href="classitk_1_1Optimizer.html" title="Generic representation for an optimization method." alt="" coords="91,160,205,189"><area shape="rect" id="node10" href="classitk_1_1Object.html" title="Base class for most itk classes." alt="" coords="100,83,196,112"><area shape="rect" id="node12" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes." alt="" coords="84,5,212,35"></map>
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Collaboration diagram for itk::AmoebaOptimizer:</div>
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<p><center><img src="classitk_1_1AmoebaOptimizer__coll__graph.png" border="0" usemap="#itk_1_1AmoebaOptimizer__coll__map" alt="Collaboration graph"></center>
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<area shape="rect" id="node2" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html" title="This class is a base for the Optimization methods that optimize a single valued function..." alt="" coords="2643,115,2928,144"><area shape="rect" id="node4" href="classitk_1_1SingleValuedNonLinearOptimizer.html" title="This class is a base for the Optimization methods that optimize a single valued function..." alt="" coords="2153,59,2417,88"><area shape="rect" id="node6" href="classitk_1_1NonLinearOptimizer.html" title="Wrap of the vnl_nonlinear_minimizer to be adapted." alt="" coords="1793,48,1975,77"><area shape="rect" id="node8" href="classitk_1_1Optimizer.html" title="Generic representation for an optimization method." alt="" coords="1409,61,1524,91"><area shape="rect" id="node10" href="classitk_1_1Object.html" title="Base class for most itk classes." alt="" coords="1039,61,1135,91"><area shape="rect" id="node12" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes." alt="" coords="641,8,769,37"><area shape="rect" id="node14" href="classitk_1_1SimpleFastMutexLock.html" title="Critical section locking class that can be allocated on the stack." alt="" coords="105,8,300,37"><area shape="rect" id="node16" href="classitk_1_1MetaDataDictionary.html" title="itk::MetaDataDictionary" alt="" coords="612,61,799,91"><area shape="rect" id="node18" href="classitk_1_1MetaDataDictionary_1_1MetaDataDictionaryMapType.html" title="itk::MetaDataDictionary::MetaDataDictionaryMapType" alt="" coords="5,61,400,91"><area shape="rect" id="node20" href="classitk_1_1TimeStamp.html" title="Generate a unique, increasing time value." alt="" coords="643,115,768,144"><area shape="rect" id="node22" href="classitk_1_1Array.html" title="itk::Array\< double \>" alt="" coords="1008,200,1165,229"><area shape="rect" id="node34" href="classitk_1_1SingleValuedVnlCostFunctionAdaptor.html" title="This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers..." alt="" coords="2139,195,2432,224"><area shape="rect" id="node24" href="classvnl__vector.html" title="vnl_vector\< double  \>" alt="" coords="623,187,788,216"><area shape="rect" id="node26" href="classitk_1_1Array.html" title="Array class with size defined at construction time." alt="" coords="612,253,799,283"><area shape="rect" id="node28" href="classvnl__vector.html" title="vnl_vector\< TValueType \>" alt="" coords="104,253,301,283"><area shape="rect" id="node30" href="classitk_1_1SmartPointer.html" title="itk::SmartPointer\< Self \>" alt="" coords="1788,115,1980,144"><area shape="rect" id="node32" href="classitk_1_1SmartPointer.html" title="Implements transparent reference counting." alt="" coords="1340,115,1593,144"></map>
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<a href="classitk_1_1AmoebaOptimizer-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
<tr><td></td></tr>
<tr><td colspan="2"><br><h2>Public Types</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1ReceptorMemberCommand.html">ReceptorMemberCommand</a><br class="typebreak">
< <a class="el" href="classitk_1_1LightObject.html">Self</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#bff0b72d8cc43dfeeb0a9cfc4a50f4d5">CommandType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1SmartPointer.html">SmartPointer</a>< const <a class="el" href="classitk_1_1LightObject.html">Self</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#81cc345460abcc43e889c7146a13805c">ConstPointer</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1SmartPointer.html">CostFunctionType::Pointer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#8ba42326a75e21218d2ce43f7dc6484d">CostFunctionPointer</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1SingleValuedCostFunction.html">SingleValuedCostFunction</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#43209de7600ffd8e18d8773c0c9df706">CostFunctionType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <br class="typebreak">
<a class="el" href="classitk_1_1Array.html">CostFunctionType::DerivativeType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#ead802bd91388811ed80116d1f597f50">DerivativeType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef vnl_amoeba </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#28cd31e5bee20a453e6764f678554f1b">InternalOptimizerType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classvnl__vector.html">vnl_vector</a>< double > </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#37103e8355c86e810fd88341f737a2ff">InternalParametersType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <br class="typebreak">
<a class="el" href="classitk_1_1SingleValuedCostFunction.html#545d325e204a9aedea7640c87d6ca983">CostFunctionType::MeasureType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#9441033001d47bcc93a4c374913fbe4c">Superclass::ParametersType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1SmartPointer.html">SmartPointer</a>< <a class="el" href="classitk_1_1LightObject.html">Self</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#63578022d834d35754d8c313d13644d0">Pointer</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">Superclass::ScalesType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">ScalesType</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <a class="el" href="classitk_1_1AmoebaOptimizer.html">AmoebaOptimizer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#cd91eed22cd5fa867595a9d51ae45d9e">Self</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <br class="typebreak">
<a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html">SingleValuedNonLinearVnlOptimizer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#ccd9f75de75ecd2bb61cd455a70196fb">Superclass</a></td></tr>
<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual <a class="el" href="classitk_1_1SmartPointer.html">LightObject::Pointer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#c36c03b81115c9a089bc46cdba22e1b6">CreateAnother</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#bc251c28f17728a618d8b2a55e6e66d8">DebugOff</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#de27d01f85f71723bcbb3ec54f630b31">DebugOn</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#17444d38d6f52e9e3bdf080dfffbe803">Delete</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1Command.html">Command</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#031c14d32abf5310bb2d0293216fc20b">GetCommand</a> (unsigned long tag)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1SingleValuedCostFunction.html">CostFunctionType</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#45675c89ceeb2b0555b3d7571502a9e5">GetCostFunction</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#b8893f63b1ff1192812804b5b99a50e4">GetCurrentPosition</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#cf1456e40e57a23d7e7f051ca2e102cf">GetDebug</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#31878c74f1a8f38738e6de62bf3496d7">GetInitialPosition</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">const <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#ab4e913cbfc535646fc7e33f5b2e897d">GetMetaDataDictionary</a> (void) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#414d257cfb90dd76c8f6e29a796531b0">GetMetaDataDictionary</a> (void)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual unsigned long </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#cab7d8d23240dacdbee33e5d1230a23e">GetMTime</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#cc81946c21e3ba0cfee414445a2a9b64">GetNameOfClass</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">vnl_amoeba * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#322563bcf0330297156ce5da971f45cc">GetOptimizer</a> (void)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual int </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#48b4964378e7835c61aa54c3104eee61">GetReferenceCount</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">ScalesType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#7c610cbb85fa3313ff9443ba9533e02d">GetScales</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#07e5f2103684592be9ad5ed8f75844a4">GetValue</a> (const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> &parameters) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#b9778b1301f31534a3f7e5c502732df4">GetValue</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#1969769aece35c36fcf240bda3d57a30">HasObserver</a> (const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> &event) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#1bb33c340bb9a88c496cdd4359043294">InvokeEvent</a> (const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> &) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#0040fe1667da646a6e9029ea91b966dd">InvokeEvent</a> (const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> &)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#33101e349626ac58ced6682b061d8277">Modified</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#bb0e07472c48d5a2033ac69ed519a338">Print</a> (std::ostream &os, <a class="el" href="classitk_1_1Indent.html">Indent</a> indent=0) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#0cdbcf8585409596b9deabed98ce19a1">Register</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#1d681b7e17fc204ad22b84d1e924784e">RemoveAllObservers</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#d35bf2647e1d1c1dc34289d5aeb1d041">RemoveObserver</a> (unsigned long tag)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#6b8bb17ff108584fe455a588190d2742">SetCostFunction</a> (<a class="el" href="classitk_1_1SingleValuedCostFunction.html">CostFunctionType</a> *costFunction)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9bfd9751567ae7af125d3660fcabb633">SetCostFunction</a> (<a class="el" href="classitk_1_1SingleValuedCostFunction.html">SingleValuedCostFunction</a> *costFunction)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#0b7aabc3944effad59f0f048d621645d">SetDebug</a> (bool debugFlag) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#46cb5f8c3401c277c7735dbfe5a934e8">SetInitialPosition</a> (const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> &param)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#7b61a8c36e3ddda0b464c064c4e25eff">SetMetaDataDictionary</a> (const <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a> &rhs)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#10988882bd8c63886182f959ce5e0b3b">SetReferenceCount</a> (int)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#b8bd201f92b5474f0640b81d378115fb">SetScales</a> (const <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">ScalesType</a> &scales)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#799821d8bbd8b621ddb137a0e4a3d3b7">StartOptimization</a> (void)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#eb964c23f5ea55c3896efdc645524e55">UnRegister</a> () const </td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">unsigned long </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#0e2fb8814089882b9c8d9174b5ca74ea">AddObserver</a> (const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> &event, <a class="el" href="classitk_1_1Command.html">Command</a> *) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">unsigned long </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#23703e82fa4a979fd512528f471606a0">AddObserver</a> (const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> &event, <a class="el" href="classitk_1_1Command.html">Command</a> *)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#7901af8834c5050590557bd304eb5b9c">AutomaticInitialSimplexOff</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#dd751a368c6cb960c2c7db99a40148a3">AutomaticInitialSimplexOn</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#67d7148bb7b04fa3de84f517d5523924">GetAutomaticInitialSimplex</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#a8d6860538fda8129be1e2e63b925aa5">SetAutomaticInitialSimplex</a> (bool _arg)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#4f34714deb7bf14e7c712ef931304760">GetCachedCurrentPosition</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1Array.html">DerivativeType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#d2f659f62255d7695535ad33468fd018">GetCachedDerivative</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#d24b27e6e78aff96e1969fe96f130a39">GetCachedValue</a> ()</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual double </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#b8b293e3e719eb65dadc3a323d05c62a">GetFunctionConvergenceTolerance</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual double </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#320a05c5e8c47ffcd6e49cf625d8f6c9">GetParametersConvergenceTolerance</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#1e42d34a67f72d380451fc53603faef4">SetFunctionConvergenceTolerance</a> (double tol)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#cb8d30c0f70a927b8fa4e483b7864c56">SetParametersConvergenceTolerance</a> (double tol)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#a123e7f38ad3929f07bb1a7d8b2fd5d9">GetInitialSimplexDelta</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#d4fad16610bd31b9c9e532c164daa76b">SetInitialSimplexDelta</a> (<a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> _arg)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual const bool & </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#962fb0fa7aefb5a1375d96db2ac4b9bc">GetMaximize</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#b14be885025ce886194057202c7ed172">GetMinimize</a> () const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#e524cb9b8dcf488c50e046adaefefd2c">MaximizeOff</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#ceb1c948c23769f166c6539be5cd38e6">MaximizeOn</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#f497c5878a5417e86e43cd3679762b30">MinimizeOff</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#75b5763817128d119a04827f3cbd7a38">MinimizeOn</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#7f86e1472214fa8fbfa01da07414a661">SetMaximize</a> (bool _arg)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#907df6f5ea5f00aa7648ee8b36d92f07">SetMinimize</a> (bool v)</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#626fd701b42f337d165d4ecf295ff9d9">GetMaximumNumberOfIterations</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#c7a41d64bccd5eadcc9767ec41504b27">SetMaximumNumberOfIterations</a> (unsigned int n)</td></tr>
<tr><td colspan="2"><br><h2>Static Public Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#d2017ee10bba6dc34ab9b3062ee573ca">BreakOnError</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">static <a class="el" href="classitk_1_1SmartPointer.html">Pointer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#7f294ba54bd44158f50df3419deb14c3">New</a> ()</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">static bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#722122bd785f53294ff40b828d5ffa4d">GetGlobalWarningDisplay</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#3a5c8091d9c41acbea2bb083f141b028">GlobalWarningDisplayOff</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#81e0ce09465f2c7e243bb5f68b850ff3">GlobalWarningDisplayOn</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#d8741136cb37a25e64c62ebf91794d4a">SetGlobalWarningDisplay</a> (bool flag)</td></tr>
<tr><td colspan="2"><br><h2>Protected Types</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef <br class="typebreak">
<a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#a0df76cb8cb8d5906d2e3ac78c08d5f9">Superclass::CostFunctionAdaptorType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a></td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">typedef int </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#dc057b9bc15dba2d9b7b8bd4fa0f6774">InternalReferenceCountType</a></td></tr>
<tr><td colspan="2"><br><h2>Protected Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#cf0ad903ff961b64700a735da9d655ae">AmoebaOptimizer</a> ()</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#0de1a5f71f9bbacf31006c2fe54e536b">GetCostFunctionAdaptor</a> (void)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">const <a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#c2f957aeb98f61bfc8763f31bf30f75a">GetCostFunctionAdaptor</a> (void) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#6468b12a78b9a9873643eb9fd0c183b6">GetNonConstCostFunctionAdaptor</a> (void) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Object.html#86e41d394947d09fa11d2bd1aa4a0823">PrintObservers</a> (std::ostream &os, <a class="el" href="classitk_1_1Indent.html">Indent</a> indent) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9f4e012b6e42f47b1698b5c3987c95df">PrintSelf</a> (std::ostream &os, <a class="el" href="classitk_1_1Indent.html">Indent</a> indent) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#bed7231f0c9771e445d5eed6f7f293c1">SetCostFunctionAdaptor</a> (<a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a> *adaptor)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#a42eb628bcd3a89143b8cd944f1df72e">SetCurrentPosition</a> (const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> &param)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1AmoebaOptimizer.html#02f3e5f0f9e120a3d585904b1df14024">~AmoebaOptimizer</a> ()</td></tr>
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<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#2c28e4194498d84fc4cf04f52627ebfc">PrintHeader</a> (std::ostream &os, <a class="el" href="classitk_1_1Indent.html">Indent</a> indent) const </td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#53f01227f6e1d236af409a9f90948734">PrintTrailer</a> (std::ostream &os, <a class="el" href="classitk_1_1Indent.html">Indent</a> indent) const </td></tr>
<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1SmartPointer.html">CostFunctionPointer</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#0ea6465331732c1e08b49f6fb55dd618">m_CostFunction</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#1fce3c9823a6947745f7b06748076189">m_CurrentPosition</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1LightObject.html#dc057b9bc15dba2d9b7b8bd4fa0f6774">InternalReferenceCountType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#499dbc304e9a6b929a4f339308788456">m_ReferenceCount</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="classitk_1_1SimpleFastMutexLock.html">SimpleFastMutexLock</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1LightObject.html#b44ec95ff62bd5ea0315f7546ecac368">m_ReferenceCountLock</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classitk_1_1Optimizer.html#d1c644d4282e24fafbc97bb9645cb2ee">m_ScalesInitialized</a></td></tr>
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<hr><a name="_details"></a><h2>Detailed Description</h2>
Wrap of the vnl_amoeba algorithm.
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<a class="el" href="classitk_1_1AmoebaOptimizer.html" title="Wrap of the vnl_amoeba algorithm.">AmoebaOptimizer</a> is a wrapper around the vnl_amoeba algorithm which is an implementation of the Nelder-Meade downhill simplex problem. For most problems, it is a few times slower than a Levenberg-Marquardt algorithm but does not require derivatives of its cost function. It works by creating a simplex (n+1 points in ND space). The cost function is evaluated at each corner of the simplex. The simplex is then modified (by reflecting a corner about the opposite edge, by shrinking the entire simplex, by contracting one edge of the simplex, or by expanding the simplex) in searching for the minimum of the cost function.<p>
The methods AutomaticInitialSimplex() and <a class="el" href="classitk_1_1AmoebaOptimizer.html#d4fad16610bd31b9c9e532c164daa76b">SetInitialSimplexDelta()</a> control whether the optimizer defines the initial simplex automatically (by constructing a very small simplex around the initial position) or uses a user supplied simplex size.<p>
<a class="el" href="classitk_1_1AmoebaOptimizer.html" title="Wrap of the vnl_amoeba algorithm.">AmoebaOptimizer</a> can only minimize a function.
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00049">49</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
<hr><h2>Member Typedef Documentation</h2>
<a class="anchor" name="bff0b72d8cc43dfeeb0a9cfc4a50f4d5"></a><!-- doxytag: member="itk::AmoebaOptimizer::CommandType" ref="bff0b72d8cc43dfeeb0a9cfc4a50f4d5" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1ReceptorMemberCommand.html">ReceptorMemberCommand</a>< <a class="el" href="classitk_1_1LightObject.html">Self</a> > <a class="el" href="classitk_1_1ReceptorMemberCommand.html">itk::SingleValuedNonLinearVnlOptimizer::CommandType</a><code> [inherited]</code> </td>
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<a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a> observer that will interact with the ITK-VNL cost-function adaptor in order to generate iteration events. This will allow to overcome the limitation of VNL optimizers not offering callbacks for every iteration
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html#l00048">48</a> of file <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html">itkSingleValuedNonLinearVnlOptimizer.h</a>.</p>
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<a class="anchor" name="81cc345460abcc43e889c7146a13805c"></a><!-- doxytag: member="itk::AmoebaOptimizer::ConstPointer" ref="81cc345460abcc43e889c7146a13805c" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SmartPointer.html">SmartPointer</a><const <a class="el" href="classitk_1_1LightObject.html">Self</a>> <a class="el" href="classitk_1_1SmartPointer.html">itk::AmoebaOptimizer::ConstPointer</a> </td>
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<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#12e860c288ca920cc46dc252dab7f9f4">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00057">57</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="afd69f7ca0735a2cc2d994775456c0b2"></a><!-- doxytag: member="itk::AmoebaOptimizer::CostFunctionAdaptorType" ref="afd69f7ca0735a2cc2d994775456c0b2" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#a0df76cb8cb8d5906d2e3ac78c08d5f9">Superclass::CostFunctionAdaptorType</a> <a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">itk::AmoebaOptimizer::CostFunctionAdaptorType</a><code> [protected]</code> </td>
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<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#a0df76cb8cb8d5906d2e3ac78c08d5f9">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00132">132</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="8ba42326a75e21218d2ce43f7dc6484d"></a><!-- doxytag: member="itk::AmoebaOptimizer::CostFunctionPointer" ref="8ba42326a75e21218d2ce43f7dc6484d" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SmartPointer.html">CostFunctionType::Pointer</a> <a class="el" href="classitk_1_1SmartPointer.html">itk::SingleValuedNonLinearOptimizer::CostFunctionPointer</a><code> [inherited]</code> </td>
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<p>Reimplemented in <a class="el" href="classitk_1_1FRPROptimizer.html#e87010795f7a0feac90b1e7633ca8e94">itk::FRPROptimizer</a>, <a class="el" href="classitk_1_1OnePlusOneEvolutionaryOptimizer.html#a96ba6bd827598128d86a4ded17aaffa">itk::OnePlusOneEvolutionaryOptimizer</a>, <a class="el" href="classitk_1_1PowellOptimizer.html#7144aec4d8bfe3dbedad433e4af382dc">itk::PowellOptimizer</a>, and <a class="el" href="classitk_1_1RegularStepGradientDescentOptimizer.html#10da1c7aa25d5080caba32fceb366f75">itk::RegularStepGradientDescentOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html#l00056">56</a> of file <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html">itkSingleValuedNonLinearOptimizer.h</a>.</p>
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<a class="anchor" name="43209de7600ffd8e18d8773c0c9df706"></a><!-- doxytag: member="itk::AmoebaOptimizer::CostFunctionType" ref="43209de7600ffd8e18d8773c0c9df706" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SingleValuedCostFunction.html">SingleValuedCostFunction</a> <a class="el" href="classitk_1_1SingleValuedCostFunction.html">itk::SingleValuedNonLinearOptimizer::CostFunctionType</a><code> [inherited]</code> </td>
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Type of the Cost <a class="el" href="namespaceitk_1_1Function.html">Function</a>
<p>Reimplemented in <a class="el" href="classitk_1_1FRPROptimizer.html#7ef44f11e1201047a3ae4df819596e64">itk::FRPROptimizer</a>, <a class="el" href="classitk_1_1OnePlusOneEvolutionaryOptimizer.html#623331c8ad9c73b24847e29fadf73558">itk::OnePlusOneEvolutionaryOptimizer</a>, <a class="el" href="classitk_1_1PowellOptimizer.html#2cf7d26d053f37de2808d58799d33a6b">itk::PowellOptimizer</a>, and <a class="el" href="classitk_1_1RegularStepGradientDescentOptimizer.html#dd1ad563d09fa67855029ceb553cf8be">itk::RegularStepGradientDescentOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html#l00055">55</a> of file <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html">itkSingleValuedNonLinearOptimizer.h</a>.</p>
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<a class="anchor" name="ead802bd91388811ed80116d1f597f50"></a><!-- doxytag: member="itk::AmoebaOptimizer::DerivativeType" ref="ead802bd91388811ed80116d1f597f50" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1Array.html">CostFunctionType::DerivativeType</a> <a class="el" href="classitk_1_1Array.html">itk::SingleValuedNonLinearOptimizer::DerivativeType</a><code> [inherited]</code> </td>
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Derivative type. It defines a type used to return the cost function derivative.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html#l00064">64</a> of file <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html">itkSingleValuedNonLinearOptimizer.h</a>.</p>
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<a class="anchor" name="28cd31e5bee20a453e6764f678554f1b"></a><!-- doxytag: member="itk::AmoebaOptimizer::InternalOptimizerType" ref="28cd31e5bee20a453e6764f678554f1b" args="" -->
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<td class="memname">typedef vnl_amoeba <a class="el" href="classitk_1_1AmoebaOptimizer.html#28cd31e5bee20a453e6764f678554f1b">itk::AmoebaOptimizer::InternalOptimizerType</a> </td>
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Internal optimizer type.
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00073">73</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="37103e8355c86e810fd88341f737a2ff"></a><!-- doxytag: member="itk::AmoebaOptimizer::InternalParametersType" ref="37103e8355c86e810fd88341f737a2ff" args="" -->
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<td class="memname">typedef <a class="el" href="classvnl__vector.html">vnl_vector</a><double> <a class="el" href="classvnl__vector.html">itk::AmoebaOptimizer::InternalParametersType</a> </td>
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InternalParameters typedef.
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00070">70</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="dc057b9bc15dba2d9b7b8bd4fa0f6774"></a><!-- doxytag: member="itk::AmoebaOptimizer::InternalReferenceCountType" ref="dc057b9bc15dba2d9b7b8bd4fa0f6774" args="" -->
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<td class="memname">typedef int <a class="el" href="classitk_1_1LightObject.html#dc057b9bc15dba2d9b7b8bd4fa0f6774">itk::LightObject::InternalReferenceCountType</a><code> [protected, inherited]</code> </td>
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Define the type of the reference count according to the target. This allows the use of atomic operations
<p>Definition at line <a class="el" href="itkLightObject_8h_source.html#l00139">139</a> of file <a class="el" href="itkLightObject_8h_source.html">itkLightObject.h</a>.</p>
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<a class="anchor" name="245250616c34172f263fca38ef7b075d"></a><!-- doxytag: member="itk::AmoebaOptimizer::MeasureType" ref="245250616c34172f263fca38ef7b075d" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SingleValuedCostFunction.html#545d325e204a9aedea7640c87d6ca983">CostFunctionType::MeasureType</a> <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">itk::SingleValuedNonLinearOptimizer::MeasureType</a><code> [inherited]</code> </td>
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Measure type. It defines a type used to return the cost function value.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html#l00060">60</a> of file <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html">itkSingleValuedNonLinearOptimizer.h</a>.</p>
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<a class="anchor" name="9877104fcb56caa2cd773003df6ee6bb"></a><!-- doxytag: member="itk::AmoebaOptimizer::ParametersType" ref="9877104fcb56caa2cd773003df6ee6bb" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#9441033001d47bcc93a4c374913fbe4c">Superclass::ParametersType</a> <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">itk::AmoebaOptimizer::ParametersType</a> </td>
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Parameters type. It defines a position in the optimization search space.
<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#9441033001d47bcc93a4c374913fbe4c">itk::SingleValuedNonLinearOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00063">63</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="63578022d834d35754d8c313d13644d0"></a><!-- doxytag: member="itk::AmoebaOptimizer::Pointer" ref="63578022d834d35754d8c313d13644d0" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SmartPointer.html">SmartPointer</a><<a class="el" href="classitk_1_1LightObject.html">Self</a>> <a class="el" href="classitk_1_1SmartPointer.html">itk::AmoebaOptimizer::Pointer</a> </td>
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<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#5d4124ddb201b849ea49a78823bac070">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00056">56</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="1582b1615da94ef3bded68251f7eba04"></a><!-- doxytag: member="itk::AmoebaOptimizer::ScalesType" ref="1582b1615da94ef3bded68251f7eba04" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">Superclass::ScalesType</a> <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">itk::NonLinearOptimizer::ScalesType</a><code> [inherited]</code> </td>
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Scale type. This array defines scale to be applied to parameters before being evaluated in the cost function. This allows to map to a more convenient space. In particular this is used to normalize parameter spaces in which some parameters have a different dynamic range.
<p>Reimplemented from <a class="el" href="classitk_1_1Optimizer.html#83427ebddb8977cbe09cf07c1bbe6a7f">itk::Optimizer</a>.</p>
<p>Definition at line <a class="el" href="itkNonLinearOptimizer_8h_source.html#l00052">52</a> of file <a class="el" href="itkNonLinearOptimizer_8h_source.html">itkNonLinearOptimizer.h</a>.</p>
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<a class="anchor" name="cd91eed22cd5fa867595a9d51ae45d9e"></a><!-- doxytag: member="itk::AmoebaOptimizer::Self" ref="cd91eed22cd5fa867595a9d51ae45d9e" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1AmoebaOptimizer.html">AmoebaOptimizer</a> <a class="el" href="classitk_1_1AmoebaOptimizer.html">itk::AmoebaOptimizer::Self</a> </td>
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Standard "Self" typedef.
<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#591220222807d4360bb801dc5673c251">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00054">54</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<a class="anchor" name="ccd9f75de75ecd2bb61cd455a70196fb"></a><!-- doxytag: member="itk::AmoebaOptimizer::Superclass" ref="ccd9f75de75ecd2bb61cd455a70196fb" args="" -->
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<td class="memname">typedef <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html">SingleValuedNonLinearVnlOptimizer</a> <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html">itk::AmoebaOptimizer::Superclass</a> </td>
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<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#de1e98591324bc53525714995aae7dd8">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
<p>Definition at line <a class="el" href="itkAmoebaOptimizer_8h_source.html#l00055">55</a> of file <a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a>.</p>
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<hr><h2>Constructor & Destructor Documentation</h2>
<a class="anchor" name="cf0ad903ff961b64700a735da9d655ae"></a><!-- doxytag: member="itk::AmoebaOptimizer::AmoebaOptimizer" ref="cf0ad903ff961b64700a735da9d655ae" args="()" -->
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<td class="memname">itk::AmoebaOptimizer::AmoebaOptimizer </td>
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<td><code> [protected]</code></td>
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<a class="anchor" name="02f3e5f0f9e120a3d585904b1df14024"></a><!-- doxytag: member="itk::AmoebaOptimizer::~AmoebaOptimizer" ref="02f3e5f0f9e120a3d585904b1df14024" args="()" -->
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<td class="memname">virtual itk::AmoebaOptimizer::~AmoebaOptimizer </td>
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<hr><h2>Member Function Documentation</h2>
<a class="anchor" name="0e2fb8814089882b9c8d9174b5ca74ea"></a><!-- doxytag: member="itk::AmoebaOptimizer::AddObserver" ref="0e2fb8814089882b9c8d9174b5ca74ea" args="(const EventObject &event, Command *) const " -->
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<td class="memname">unsigned long itk::Object::AddObserver </td>
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Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">itk::Command</a> to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a> becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
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<a class="anchor" name="23703e82fa4a979fd512528f471606a0"></a><!-- doxytag: member="itk::AmoebaOptimizer::AddObserver" ref="23703e82fa4a979fd512528f471606a0" args="(const EventObject &event, Command *)" -->
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<td class="memname">unsigned long itk::Object::AddObserver </td>
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Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">itk::Command</a> to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a> becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
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<a class="anchor" name="7901af8834c5050590557bd304eb5b9c"></a><!-- doxytag: member="itk::AmoebaOptimizer::AutomaticInitialSimplexOff" ref="7901af8834c5050590557bd304eb5b9c" args="()" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::AutomaticInitialSimplexOff </td>
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Set/Get the mode which determines how the amoeba algorithm defines the initial simplex. Default is AutomaticInitialSimplexOn. If AutomaticInitialSimplex is on, the initial simplex is created with a default size. If AutomaticInitialSimplex is off, then InitialSimplexDelta will be used to define the initial simplex, setting the ith corner of the simplex as [x0[0], x0[1], ..., x0[i]+InitialSimplexDelta[i], ..., x0[d-1]].
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<a class="anchor" name="dd751a368c6cb960c2c7db99a40148a3"></a><!-- doxytag: member="itk::AmoebaOptimizer::AutomaticInitialSimplexOn" ref="dd751a368c6cb960c2c7db99a40148a3" args="()" -->
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Set/Get the mode which determines how the amoeba algorithm defines the initial simplex. Default is AutomaticInitialSimplexOn. If AutomaticInitialSimplex is on, the initial simplex is created with a default size. If AutomaticInitialSimplex is off, then InitialSimplexDelta will be used to define the initial simplex, setting the ith corner of the simplex as [x0[0], x0[1], ..., x0[i]+InitialSimplexDelta[i], ..., x0[d-1]].
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<a class="anchor" name="d2017ee10bba6dc34ab9b3062ee573ca"></a><!-- doxytag: member="itk::AmoebaOptimizer::BreakOnError" ref="d2017ee10bba6dc34ab9b3062ee573ca" args="()" -->
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This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
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<a class="anchor" name="c36c03b81115c9a089bc46cdba22e1b6"></a><!-- doxytag: member="itk::AmoebaOptimizer::CreateAnother" ref="c36c03b81115c9a089bc46cdba22e1b6" args="() const " -->
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<td class="memname">virtual <a class="el" href="classitk_1_1SmartPointer.html">LightObject::Pointer</a> itk::Object::CreateAnother </td>
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
<p>Reimplemented from <a class="el" href="classitk_1_1LightObject.html#ba533bbb63dd6398670049336b004555">itk::LightObject</a>.</p>
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<a class="anchor" name="bc251c28f17728a618d8b2a55e6e66d8"></a><!-- doxytag: member="itk::AmoebaOptimizer::DebugOff" ref="bc251c28f17728a618d8b2a55e6e66d8" args="() const " -->
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Turn debugging output off.
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<a class="anchor" name="de27d01f85f71723bcbb3ec54f630b31"></a><!-- doxytag: member="itk::AmoebaOptimizer::DebugOn" ref="de27d01f85f71723bcbb3ec54f630b31" args="() const " -->
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Turn debugging output on.
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<a class="anchor" name="17444d38d6f52e9e3bdf080dfffbe803"></a><!-- doxytag: member="itk::AmoebaOptimizer::Delete" ref="17444d38d6f52e9e3bdf080dfffbe803" args="()" -->
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<td class="memname">virtual void itk::LightObject::Delete </td>
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<td><code> [virtual, inherited]</code></td>
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Delete an <a class="el" href="namespaceitk.html" title="Hashtable class, used to implement the hashed associative containers itk_hash_set...">itk</a> object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
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<a class="anchor" name="67d7148bb7b04fa3de84f517d5523924"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetAutomaticInitialSimplex" ref="67d7148bb7b04fa3de84f517d5523924" args="()" -->
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<td class="memname">virtual bool itk::AmoebaOptimizer::GetAutomaticInitialSimplex </td>
<td>(</td>
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<td><code> [virtual]</code></td>
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<p>
Set/Get the mode which determines how the amoeba algorithm defines the initial simplex. Default is AutomaticInitialSimplexOn. If AutomaticInitialSimplex is on, the initial simplex is created with a default size. If AutomaticInitialSimplex is off, then InitialSimplexDelta will be used to define the initial simplex, setting the ith corner of the simplex as [x0[0], x0[1], ..., x0[i]+InitialSimplexDelta[i], ..., x0[d-1]].
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<a class="anchor" name="4f34714deb7bf14e7c712ef931304760"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCachedCurrentPosition" ref="4f34714deb7bf14e7c712ef931304760" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a>& itk::SingleValuedNonLinearVnlOptimizer::GetCachedCurrentPosition </td>
<td>(</td>
<td class="paramname"> </td>
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<td><code> [virtual, inherited]</code></td>
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Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option, for mathematical validation you should rather call <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#07e5f2103684592be9ad5ed8f75844a4">GetValue()</a>.
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<a class="anchor" name="d2f659f62255d7695535ad33468fd018"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCachedDerivative" ref="d2f659f62255d7695535ad33468fd018" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1Array.html">DerivativeType</a>& itk::SingleValuedNonLinearVnlOptimizer::GetCachedDerivative </td>
<td>(</td>
<td class="paramname"> </td>
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<td><code> [virtual, inherited]</code></td>
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<p>
Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option, for mathematical validation you should rather call <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#07e5f2103684592be9ad5ed8f75844a4">GetValue()</a>.
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<a class="anchor" name="d24b27e6e78aff96e1969fe96f130a39"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCachedValue" ref="d24b27e6e78aff96e1969fe96f130a39" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a>& itk::SingleValuedNonLinearVnlOptimizer::GetCachedValue </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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<p>
Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option, for mathematical validation you should rather call <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#07e5f2103684592be9ad5ed8f75844a4">GetValue()</a>.
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<a class="anchor" name="031c14d32abf5310bb2d0293216fc20b"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCommand" ref="031c14d32abf5310bb2d0293216fc20b" args="(unsigned long tag)" -->
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<td class="memname"><a class="el" href="classitk_1_1Command.html">Command</a>* itk::Object::GetCommand </td>
<td>(</td>
<td class="paramtype">unsigned long </td>
<td class="paramname"> <em>tag</em> </td>
<td> ) </td>
<td><code> [inherited]</code></td>
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Get the command associated with the given tag. NOTE: This returns a pointer to a <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a>, but it is safe to asign this to a <a class="el" href="classitk_1_1Command.html#fd9f53bfc5e3295cb80e282abe687318">Command::Pointer</a>. Since <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a> inherits from <a class="el" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">LightObject</a>, at this point in the code, only a pointer or a reference to the <a class="el" href="classitk_1_1Command.html" title="superclass for callback/observer methods">Command</a> can be used.
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<a class="anchor" name="45675c89ceeb2b0555b3d7571502a9e5"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCostFunction" ref="45675c89ceeb2b0555b3d7571502a9e5" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1SingleValuedCostFunction.html">CostFunctionType</a>* itk::SingleValuedNonLinearOptimizer::GetCostFunction </td>
<td>(</td>
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<td><code> [virtual, inherited]</code></td>
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Get the cost function.
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<a class="anchor" name="0de1a5f71f9bbacf31006c2fe54e536b"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCostFunctionAdaptor" ref="0de1a5f71f9bbacf31006c2fe54e536b" args="(void)" -->
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<td class="memname"><a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a>* itk::SingleValuedNonLinearVnlOptimizer::GetCostFunctionAdaptor </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [protected, inherited]</code></td>
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<a class="anchor" name="c2f957aeb98f61bfc8763f31bf30f75a"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCostFunctionAdaptor" ref="c2f957aeb98f61bfc8763f31bf30f75a" args="(void) const " -->
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<td class="memname">const <a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a>* itk::SingleValuedNonLinearVnlOptimizer::GetCostFunctionAdaptor </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td> const<code> [protected, inherited]</code></td>
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<a class="anchor" name="b8893f63b1ff1192812804b5b99a50e4"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetCurrentPosition" ref="b8893f63b1ff1192812804b5b99a50e4" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a>& itk::Optimizer::GetCurrentPosition </td>
<td>(</td>
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<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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Get current position of the optimization.
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<a class="anchor" name="cf1456e40e57a23d7e7f051ca2e102cf"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetDebug" ref="cf1456e40e57a23d7e7f051ca2e102cf" args="() const " -->
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<td class="memname">bool itk::Object::GetDebug </td>
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<td> const<code> [inherited]</code></td>
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Get the value of the debug flag.
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<a class="anchor" name="b8b293e3e719eb65dadc3a323d05c62a"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetFunctionConvergenceTolerance" ref="b8b293e3e719eb65dadc3a323d05c62a" args="()" -->
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<td class="memname">virtual double itk::AmoebaOptimizer::GetFunctionConvergenceTolerance </td>
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<td><code> [virtual]</code></td>
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The optimization algorithm will terminate when the simplex diameter and the difference in cost function at the corners of the simplex falls below user specified thresholds. The simplex diameter threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#cb8d30c0f70a927b8fa4e483b7864c56">SetParametersConvergenceTolerance()</a> with the default value being 1e-8. The cost function convergence threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#1e42d34a67f72d380451fc53603faef4">SetFunctionConvergenceTolerance()</a> with the default value being 1e-4.
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<a class="anchor" name="722122bd785f53294ff40b828d5ffa4d"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetGlobalWarningDisplay" ref="722122bd785f53294ff40b828d5ffa4d" args="()" -->
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<td class="memname">static bool itk::Object::GetGlobalWarningDisplay </td>
<td>(</td>
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<td><code> [static, inherited]</code></td>
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This is a global flag that controls whether any debug, warning or error messages are displayed.
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<a class="anchor" name="31878c74f1a8f38738e6de62bf3496d7"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetInitialPosition" ref="31878c74f1a8f38738e6de62bf3496d7" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a>& itk::Optimizer::GetInitialPosition </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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Get the position to initialize the optimization.
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<a class="anchor" name="a123e7f38ad3929f07bb1a7d8b2fd5d9"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetInitialSimplexDelta" ref="a123e7f38ad3929f07bb1a7d8b2fd5d9" args="()" -->
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<td class="memname">virtual <a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> itk::AmoebaOptimizer::GetInitialSimplexDelta </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
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Set/Get the deltas that are used to define the initial simplex when AutomaticInitialSimplex is off.
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<a class="anchor" name="962fb0fa7aefb5a1375d96db2ac4b9bc"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMaximize" ref="962fb0fa7aefb5a1375d96db2ac4b9bc" args="()" -->
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<td class="memname">virtual const bool& itk::SingleValuedNonLinearVnlOptimizer::GetMaximize </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
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<a class="anchor" name="626fd701b42f337d165d4ecf295ff9d9"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMaximumNumberOfIterations" ref="626fd701b42f337d165d4ecf295ff9d9" args="()" -->
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<td class="memname">virtual unsigned int itk::AmoebaOptimizer::GetMaximumNumberOfIterations </td>
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<td><code> [virtual]</code></td>
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Set/Get the maximum number of iterations. The optimization algorithm will terminate after the maximum number of iterations has been reached. The default value is 500.
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<a class="anchor" name="ab4e913cbfc535646fc7e33f5b2e897d"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMetaDataDictionary" ref="ab4e913cbfc535646fc7e33f5b2e897d" args="(void) const " -->
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<td class="memname">const <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a>& itk::Object::GetMetaDataDictionary </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td> const<code> [inherited]</code></td>
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<dl class="return" compact><dt><b>Returns:</b></dt><dd><a class="el" href="classA.html">A</a> constant reference to this objects <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a>. </dd></dl>
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<a class="anchor" name="414d257cfb90dd76c8f6e29a796531b0"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMetaDataDictionary" ref="414d257cfb90dd76c8f6e29a796531b0" args="(void)" -->
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<td class="memname"><a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a>& itk::Object::GetMetaDataDictionary </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [inherited]</code></td>
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<dl class="return" compact><dt><b>Returns:</b></dt><dd><a class="el" href="classA.html">A</a> reference to this objects <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a>. </dd></dl>
<dl class="warning" compact><dt><b>Warning:</b></dt><dd>This reference may be changed. </dd></dl>
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<a class="anchor" name="b14be885025ce886194057202c7ed172"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMinimize" ref="b14be885025ce886194057202c7ed172" args="() const " -->
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<td class="memname">bool itk::SingleValuedNonLinearVnlOptimizer::GetMinimize </td>
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<td> const<code> [inline, inherited]</code></td>
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Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html#l00072">72</a> of file <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html">itkSingleValuedNonLinearVnlOptimizer.h</a>.</p>
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<a class="anchor" name="cab7d8d23240dacdbee33e5d1230a23e"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetMTime" ref="cab7d8d23240dacdbee33e5d1230a23e" args="() const " -->
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<td class="memname">virtual unsigned long itk::Object::GetMTime </td>
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Return this objects modified time.
<p>Reimplemented in <a class="el" href="classitk_1_1ImageRegistrationMethod.html#0ca1055a633e9526a885c0b92085762a">itk::ImageRegistrationMethod< TFixedImage, TMovingImage ></a>, <a class="el" href="classitk_1_1ImageToSpatialObjectRegistrationMethod.html#ac299f2219dd552f38e3975e1d6c4f04">itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject ></a>, <a class="el" href="classitk_1_1MultiResolutionImageRegistrationMethod.html#2abfcc8295ab147f201f81b87f2fe131">itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage ></a>, <a class="el" href="classitk_1_1PointSetToImageRegistrationMethod.html#c7b9cf41d8cc0a9d35bf82d03671e22a">itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage ></a>, <a class="el" href="classitk_1_1PointSetToPointSetRegistrationMethod.html#2865f9e84b55d26efcebb2d37966f27f">itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet ></a>, <a class="el" href="classitk_1_1DeformationFieldSource.html#240df5996ed1f70b11eac0efaa9e05fa">itk::DeformationFieldSource< TOutputImage ></a>, <a class="el" href="classitk_1_1InverseDeformationFieldImageFilter.html#cb958ad76eccc6210f2a8d5f89ebbe52">itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage ></a>, <a class="el" href="classitk_1_1ResampleImageFilter.html#ad5910eef27070b8bc36e6673bbc7cbf">itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType ></a>, <a class="el" href="classitk_1_1VectorResampleImageFilter.html#e0fcbedd3cdc27806ba275128ecc0571">itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType ></a>, <a class="el" href="classitk_1_1BoundingBox.html#0042892683cf7fddace623902db14a31">itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, TAccessor ></a>, <a class="el" href="classitk_1_1ResampleImageFilter.html#ad5910eef27070b8bc36e6673bbc7cbf">itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType ></a>, <a class="el" href="classitk_1_1TransformToDeformationFieldSource.html#587f9be610da037f241027f2003fc271">itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType ></a>, <a class="el" href="classitk_1_1ImageSpatialObject.html#59b8cb2b91110a74fa200cd0a9ae07c6">itk::ImageSpatialObject< TDimension, TPixelType ></a>, <a class="el" href="classitk_1_1MeshSpatialObject.html#02b23babf1a13a97378d8d19e0e5714f">itk::MeshSpatialObject< TMesh ></a>, <a class="el" href="classitk_1_1SceneSpatialObject.html#ec28155bc0ca5c8b386066c0b1801e70">itk::SceneSpatialObject< TSpaceDimension ></a>, <a class="el" href="classitk_1_1SpatialObject.html#30e33a9f2b83e6f47a9b2db63b538198">itk::SpatialObject< TDimension ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, PixelAccessor ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#185abdf95c633801f091e915eb7d7298">itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageSpatialObject.html#59b8cb2b91110a74fa200cd0a9ae07c6">itk::ImageSpatialObject< TDimension, unsigned char ></a>, <a class="el" href="classitk_1_1SpatialObject.html#30e33a9f2b83e6f47a9b2db63b538198">itk::SpatialObject< 3 ></a>, and <a class="el" href="classitk_1_1SpatialObject.html#30e33a9f2b83e6f47a9b2db63b538198">itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension ></a>.</p>
<p>Referenced by <a class="el" href="itkSpatialObject_8h_source.html#l00230">itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime()</a>.</p>
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<a class="anchor" name="cc81946c21e3ba0cfee414445a2a9b64"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetNameOfClass" ref="cc81946c21e3ba0cfee414445a2a9b64" args="() const " -->
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<td class="memname">virtual const char* itk::AmoebaOptimizer::GetNameOfClass </td>
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<td> const<code> [virtual]</code></td>
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Run-time type information (and related methods).
<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#ebcdefb2332abd7471f9e38d25c1ec68">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
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<a class="anchor" name="6468b12a78b9a9873643eb9fd0c183b6"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetNonConstCostFunctionAdaptor" ref="6468b12a78b9a9873643eb9fd0c183b6" args="(void) const " -->
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<td class="memname"><a class="el" href="classitk_1_1AmoebaOptimizer.html#afd69f7ca0735a2cc2d994775456c0b2">CostFunctionAdaptorType</a>* itk::SingleValuedNonLinearVnlOptimizer::GetNonConstCostFunctionAdaptor </td>
<td>(</td>
<td class="paramtype">void </td>
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<td> const<code> [protected, inherited]</code></td>
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The purpose of this method is to get around the lack of const-correctness in VNL cost-functions and optimizers
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<a class="anchor" name="322563bcf0330297156ce5da971f45cc"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetOptimizer" ref="322563bcf0330297156ce5da971f45cc" args="(void)" -->
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<td class="memname">vnl_amoeba* itk::AmoebaOptimizer::GetOptimizer </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
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<p>
Method for getting access to the internal optimizer.
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<a class="anchor" name="320a05c5e8c47ffcd6e49cf625d8f6c9"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetParametersConvergenceTolerance" ref="320a05c5e8c47ffcd6e49cf625d8f6c9" args="()" -->
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<td class="memname">virtual double itk::AmoebaOptimizer::GetParametersConvergenceTolerance </td>
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<td><code> [virtual]</code></td>
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The optimization algorithm will terminate when the simplex diameter and the difference in cost function at the corners of the simplex falls below user specified thresholds. The simplex diameter threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#cb8d30c0f70a927b8fa4e483b7864c56">SetParametersConvergenceTolerance()</a> with the default value being 1e-8. The cost function convergence threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#1e42d34a67f72d380451fc53603faef4">SetFunctionConvergenceTolerance()</a> with the default value being 1e-4.
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<a class="anchor" name="48b4964378e7835c61aa54c3104eee61"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetReferenceCount" ref="48b4964378e7835c61aa54c3104eee61" args="() const " -->
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<td class="memname">virtual int itk::LightObject::GetReferenceCount </td>
<td>(</td>
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<td> const<code> [inline, virtual, inherited]</code></td>
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Gets the reference count on this object.
<p>Definition at line <a class="el" href="itkLightObject_8h_source.html#l00106">106</a> of file <a class="el" href="itkLightObject_8h_source.html">itkLightObject.h</a>.</p>
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<a class="anchor" name="7c610cbb85fa3313ff9443ba9533e02d"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetScales" ref="7c610cbb85fa3313ff9443ba9533e02d" args="()" -->
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<td class="memname">virtual const <a class="el" href="classitk_1_1NonLinearOptimizer.html#1582b1615da94ef3bded68251f7eba04">ScalesType</a>& itk::Optimizer::GetScales </td>
<td>(</td>
<td class="paramname"> </td>
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<td><code> [virtual, inherited]</code></td>
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Get current parameters scaling.
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<a class="anchor" name="07e5f2103684592be9ad5ed8f75844a4"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetValue" ref="07e5f2103684592be9ad5ed8f75844a4" args="(const ParametersType &parameters) const " -->
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<td class="memname"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a> itk::SingleValuedNonLinearOptimizer::GetValue </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1Array.html">ParametersType</a> & </td>
<td class="paramname"> <em>parameters</em> </td>
<td> ) </td>
<td> const<code> [inherited]</code></td>
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Get the cost function value at the given parameters.
<p>Reimplemented in <a class="el" href="classitk_1_1SPSAOptimizer.html#4558ce7088e8ceb999ca680f7dbd0993">itk::SPSAOptimizer</a>.</p>
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<a class="anchor" name="b9778b1301f31534a3f7e5c502732df4"></a><!-- doxytag: member="itk::AmoebaOptimizer::GetValue" ref="b9778b1301f31534a3f7e5c502732df4" args="() const " -->
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<td class="memname"><a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#245250616c34172f263fca38ef7b075d">MeasureType</a> itk::AmoebaOptimizer::GetValue </td>
<td>(</td>
<td class="paramname"> </td>
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<td> const</td>
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Return Current Value
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<a class="anchor" name="3a5c8091d9c41acbea2bb083f141b028"></a><!-- doxytag: member="itk::AmoebaOptimizer::GlobalWarningDisplayOff" ref="3a5c8091d9c41acbea2bb083f141b028" args="()" -->
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<td class="memname">static void itk::Object::GlobalWarningDisplayOff </td>
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<td><code> [inline, static, inherited]</code></td>
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This is a global flag that controls whether any debug, warning or error messages are displayed.
<p>Definition at line <a class="el" href="itkObject_8h_source.html#l00100">100</a> of file <a class="el" href="itkObject_8h_source.html">itkObject.h</a>.</p>
<p>References <a class="el" href="classitk_1_1Object.html#d8741136cb37a25e64c62ebf91794d4a">itk::Object::SetGlobalWarningDisplay()</a>.</p>
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<a class="anchor" name="81e0ce09465f2c7e243bb5f68b850ff3"></a><!-- doxytag: member="itk::AmoebaOptimizer::GlobalWarningDisplayOn" ref="81e0ce09465f2c7e243bb5f68b850ff3" args="()" -->
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<td class="memname">static void itk::Object::GlobalWarningDisplayOn </td>
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<td><code> [inline, static, inherited]</code></td>
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This is a global flag that controls whether any debug, warning or error messages are displayed.
<p>Definition at line <a class="el" href="itkObject_8h_source.html#l00098">98</a> of file <a class="el" href="itkObject_8h_source.html">itkObject.h</a>.</p>
<p>References <a class="el" href="classitk_1_1Object.html#d8741136cb37a25e64c62ebf91794d4a">itk::Object::SetGlobalWarningDisplay()</a>.</p>
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<a class="anchor" name="1969769aece35c36fcf240bda3d57a30"></a><!-- doxytag: member="itk::AmoebaOptimizer::HasObserver" ref="1969769aece35c36fcf240bda3d57a30" args="(const EventObject &event) const " -->
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<td class="memname">bool itk::Object::HasObserver </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> & </td>
<td class="paramname"> <em>event</em> </td>
<td> ) </td>
<td> const<code> [inherited]</code></td>
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Return true if an observer is registered for this event.
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<a class="anchor" name="1bb33c340bb9a88c496cdd4359043294"></a><!-- doxytag: member="itk::AmoebaOptimizer::InvokeEvent" ref="1bb33c340bb9a88c496cdd4359043294" args="(const EventObject &) const " -->
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<td class="memname">void itk::Object::InvokeEvent </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> & </td>
<td class="paramname"> </td>
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Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
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<a class="anchor" name="0040fe1667da646a6e9029ea91b966dd"></a><!-- doxytag: member="itk::AmoebaOptimizer::InvokeEvent" ref="0040fe1667da646a6e9029ea91b966dd" args="(const EventObject &)" -->
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<td class="memname">void itk::Object::InvokeEvent </td>
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<td class="paramtype">const <a class="el" href="classitk_1_1EventObject.html">EventObject</a> & </td>
<td class="paramname"> </td>
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<td><code> [inherited]</code></td>
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Call Execute on all the Commands observing this event id.
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<a class="anchor" name="e524cb9b8dcf488c50e046adaefefd2c"></a><!-- doxytag: member="itk::AmoebaOptimizer::MaximizeOff" ref="e524cb9b8dcf488c50e046adaefefd2c" args="()" -->
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<td class="memname">virtual void itk::SingleValuedNonLinearVnlOptimizer::MaximizeOff </td>
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<td><code> [virtual, inherited]</code></td>
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Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
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<a class="anchor" name="ceb1c948c23769f166c6539be5cd38e6"></a><!-- doxytag: member="itk::AmoebaOptimizer::MaximizeOn" ref="ceb1c948c23769f166c6539be5cd38e6" args="()" -->
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<td class="memname">virtual void itk::SingleValuedNonLinearVnlOptimizer::MaximizeOn </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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<p>
Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
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<a class="anchor" name="f497c5878a5417e86e43cd3679762b30"></a><!-- doxytag: member="itk::AmoebaOptimizer::MinimizeOff" ref="f497c5878a5417e86e43cd3679762b30" args="()" -->
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<td class="memname">void itk::SingleValuedNonLinearVnlOptimizer::MinimizeOff </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [inline, inherited]</code></td>
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<p>
Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html#l00078">78</a> of file <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html">itkSingleValuedNonLinearVnlOptimizer.h</a>.</p>
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<a class="anchor" name="75b5763817128d119a04827f3cbd7a38"></a><!-- doxytag: member="itk::AmoebaOptimizer::MinimizeOn" ref="75b5763817128d119a04827f3cbd7a38" args="()" -->
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<td class="memname">void itk::SingleValuedNonLinearVnlOptimizer::MinimizeOn </td>
<td>(</td>
<td class="paramtype">void </td>
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<td> ) </td>
<td><code> [inline, inherited]</code></td>
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<p>
Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html#l00076">76</a> of file <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html">itkSingleValuedNonLinearVnlOptimizer.h</a>.</p>
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<a class="anchor" name="33101e349626ac58ced6682b061d8277"></a><!-- doxytag: member="itk::AmoebaOptimizer::Modified" ref="33101e349626ac58ced6682b061d8277" args="() const " -->
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<td class="memname">virtual void itk::Object::Modified </td>
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<td> const<code> [virtual, inherited]</code></td>
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Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
<p>Reimplemented in <a class="el" href="classitk_1_1NormalizeImageFilter.html#bf4bd98cebe2b7f32cafe14cf26d070e">itk::NormalizeImageFilter< TInputImage, TOutputImage ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, TAccessor ></a>, <a class="el" href="classitk_1_1MiniPipelineSeparableImageFilter.html#b0303217704dd6f93c20a1a23005c9ca">itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter ></a>, <a class="el" href="classitk_1_1GrayscaleDilateImageFilter.html#a77124317dfbc2733c00848f8d38cd24">itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel ></a>, <a class="el" href="classitk_1_1GrayscaleErodeImageFilter.html#1bdb64296f5364c634b1008ce0f4668a">itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel ></a>, <a class="el" href="classitk_1_1GrayscaleMorphologicalClosingImageFilter.html#ce18a62b5c1fd0d8713718b995895e97">itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel ></a>, <a class="el" href="classitk_1_1GrayscaleMorphologicalOpeningImageFilter.html#c6389ff94a8d6270f750530be365338c">itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel ></a>, <a class="el" href="classitk_1_1MorphologicalGradientImageFilter.html#f46572d5a0d9a7414b51cde735463b15">itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, PixelAccessor ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, <a class="el" href="classitk_1_1ImageAdaptor.html#8e735ae00ed65d06ba8cfe3570d71943">itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > ></a>, and <a class="el" href="classitk_1_1MiniPipelineSeparableImageFilter.html#b0303217704dd6f93c20a1a23005c9ca">itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > ></a>.</p>
<p>Referenced by <a class="el" href="itkNarrowBandImageFilterBase_8h_source.html#l00123">itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::InsertNarrowBandNode()</a>, <a class="el" href="itkMatrixOffsetTransformBase_8h_source.html#l00242">itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter()</a>, <a class="el" href="itkHistogramAlgorithmBase_8h_source.html#l00053">itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram()</a>, <a class="el" href="itkMatrixOffsetTransformBase_8h_source.html#l00180">itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix()</a>, <a class="el" href="itkNarrowBandImageFilterBase_8h_source.html#l00191">itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBand()</a>, <a class="el" href="itkNarrowBandImageFilterBase_8h_source.html#l00168">itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandInnerRadius()</a>, <a class="el" href="itkNarrowBandImageFilterBase_8h_source.html#l00150">itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandTotalRadius()</a>, <a class="el" href="itkMatrixOffsetTransformBase_8h_source.html#l00205">itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset()</a>, <a class="el" href="itkThresholdLabelerImageFilter_8h_source.html#l00175">itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds()</a>, <a class="el" href="itkCollidingFrontsImageFilter_8h_source.html#l00110">itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1()</a>, <a class="el" href="itkCollidingFrontsImageFilter_8h_source.html#l00123">itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2()</a>, <a class="el" href="itkNonUniformBSpline_8h_source.html#l00141">itk::NonUniformBSpline< TDimension >::SetSplineOrder()</a>, <a class="el" href="itkThresholdLabelerImageFilter_8h_source.html#l00156">itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds()</a>, <a class="el" href="itkGoodnessOfFitFunctionBase_8h_source.html#l00082">itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale()</a>, and <a class="el" href="itkMatrixOffsetTransformBase_8h_source.html#l00264">itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation()</a>.</p>
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<a class="anchor" name="7f294ba54bd44158f50df3419deb14c3"></a><!-- doxytag: member="itk::AmoebaOptimizer::New" ref="7f294ba54bd44158f50df3419deb14c3" args="()" -->
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<td class="memname">static <a class="el" href="classitk_1_1SmartPointer.html">Pointer</a> itk::AmoebaOptimizer::New </td>
<td>(</td>
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<td><code> [static]</code></td>
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<p>
Method for creation through the object factory.
<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#0a1940db62c84f890f7f6771f4ca0323">itk::SingleValuedNonLinearOptimizer</a>.</p>
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<a class="anchor" name="bb0e07472c48d5a2033ac69ed519a338"></a><!-- doxytag: member="itk::AmoebaOptimizer::Print" ref="bb0e07472c48d5a2033ac69ed519a338" args="(std::ostream &os, Indent indent=0) const " -->
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<td class="memname">void itk::LightObject::Print </td>
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<td class="paramtype">std::ostream & </td>
<td class="paramname"> <em>os</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classitk_1_1Indent.html">Indent</a> </td>
<td class="paramname"> <em>indent</em> = <code>0</code></td><td> </td>
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Cause the object to print itself out.
<p>Referenced by <a class="el" href="itkWeakPointer_8h_source.html#l00116">itk::WeakPointer< ProcessObject >::Print()</a>.</p>
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<a class="anchor" name="2c28e4194498d84fc4cf04f52627ebfc"></a><!-- doxytag: member="itk::AmoebaOptimizer::PrintHeader" ref="2c28e4194498d84fc4cf04f52627ebfc" args="(std::ostream &os, Indent indent) const " -->
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<td class="memname">virtual void itk::LightObject::PrintHeader </td>
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<td class="paramtype">std::ostream & </td>
<td class="paramname"> <em>os</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classitk_1_1Indent.html">Indent</a> </td>
<td class="paramname"> <em>indent</em></td><td> </td>
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<td>)</td>
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Methods invoked by <a class="el" href="classitk_1_1LightObject.html#bb0e07472c48d5a2033ac69ed519a338">Print()</a> to print information about the object including superclasses. Typically not called by the user (use <a class="el" href="classitk_1_1LightObject.html#bb0e07472c48d5a2033ac69ed519a338">Print()</a> instead) but used in the hierarchical print process to combine the output of several classes.
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<a class="anchor" name="86e41d394947d09fa11d2bd1aa4a0823"></a><!-- doxytag: member="itk::AmoebaOptimizer::PrintObservers" ref="86e41d394947d09fa11d2bd1aa4a0823" args="(std::ostream &os, Indent indent) const " -->
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<td class="memname">bool itk::Object::PrintObservers </td>
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<td class="paramkey"></td>
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<td class="paramtype"><a class="el" href="classitk_1_1Indent.html">Indent</a> </td>
<td class="paramname"> <em>indent</em></td><td> </td>
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<td>)</td>
<td></td><td></td><td> const<code> [protected, inherited]</code></td>
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<a class="anchor" name="9f4e012b6e42f47b1698b5c3987c95df"></a><!-- doxytag: member="itk::AmoebaOptimizer::PrintSelf" ref="9f4e012b6e42f47b1698b5c3987c95df" args="(std::ostream &os, Indent indent) const " -->
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<td class="memname">void itk::AmoebaOptimizer::PrintSelf </td>
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<td class="paramtype">std::ostream & </td>
<td class="paramname"> <em>os</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classitk_1_1Indent.html">Indent</a> </td>
<td class="paramname"> <em>indent</em></td><td> </td>
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<td>)</td>
<td></td><td></td><td> const<code> [protected, virtual]</code></td>
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Print out internal state
<p>Reimplemented from <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#16b2b428d9af9ec1bc33b2d4584f6637">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
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<a class="anchor" name="53f01227f6e1d236af409a9f90948734"></a><!-- doxytag: member="itk::AmoebaOptimizer::PrintTrailer" ref="53f01227f6e1d236af409a9f90948734" args="(std::ostream &os, Indent indent) const " -->
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<td class="memname">virtual void itk::LightObject::PrintTrailer </td>
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<td class="paramtype">std::ostream & </td>
<td class="paramname"> <em>os</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classitk_1_1Indent.html">Indent</a> </td>
<td class="paramname"> <em>indent</em></td><td> </td>
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<td>)</td>
<td></td><td></td><td> const<code> [protected, virtual, inherited]</code></td>
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Methods invoked by <a class="el" href="classitk_1_1LightObject.html#bb0e07472c48d5a2033ac69ed519a338">Print()</a> to print information about the object including superclasses. Typically not called by the user (use <a class="el" href="classitk_1_1LightObject.html#bb0e07472c48d5a2033ac69ed519a338">Print()</a> instead) but used in the hierarchical print process to combine the output of several classes.
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<a class="anchor" name="0cdbcf8585409596b9deabed98ce19a1"></a><!-- doxytag: member="itk::AmoebaOptimizer::Register" ref="0cdbcf8585409596b9deabed98ce19a1" args="() const " -->
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Increase the reference count (mark as used by another object).
<p>Reimplemented from <a class="el" href="classitk_1_1LightObject.html#ae9bb60ec4be7ddd5f4ddbf3ee554b93">itk::LightObject</a>.</p>
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<a class="anchor" name="1d681b7e17fc204ad22b84d1e924784e"></a><!-- doxytag: member="itk::AmoebaOptimizer::RemoveAllObservers" ref="1d681b7e17fc204ad22b84d1e924784e" args="()" -->
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<td class="memname">void itk::Object::RemoveAllObservers </td>
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Remove all observers .
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<a class="anchor" name="d35bf2647e1d1c1dc34289d5aeb1d041"></a><!-- doxytag: member="itk::AmoebaOptimizer::RemoveObserver" ref="d35bf2647e1d1c1dc34289d5aeb1d041" args="(unsigned long tag)" -->
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<td class="memname">void itk::Object::RemoveObserver </td>
<td>(</td>
<td class="paramtype">unsigned long </td>
<td class="paramname"> <em>tag</em> </td>
<td> ) </td>
<td><code> [inherited]</code></td>
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Remove the observer with this tag value.
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<a class="anchor" name="a8d6860538fda8129be1e2e63b925aa5"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetAutomaticInitialSimplex" ref="a8d6860538fda8129be1e2e63b925aa5" args="(bool _arg)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetAutomaticInitialSimplex </td>
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<td class="paramtype">bool </td>
<td class="paramname"> <em>_arg</em> </td>
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Set/Get the mode which determines how the amoeba algorithm defines the initial simplex. Default is AutomaticInitialSimplexOn. If AutomaticInitialSimplex is on, the initial simplex is created with a default size. If AutomaticInitialSimplex is off, then InitialSimplexDelta will be used to define the initial simplex, setting the ith corner of the simplex as [x0[0], x0[1], ..., x0[i]+InitialSimplexDelta[i], ..., x0[d-1]].
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<a class="anchor" name="6b8bb17ff108584fe455a588190d2742"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetCostFunction" ref="6b8bb17ff108584fe455a588190d2742" args="(CostFunctionType *costFunction)" -->
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<td class="memname">virtual void itk::SingleValuedNonLinearOptimizer::SetCostFunction </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classitk_1_1SingleValuedCostFunction.html">CostFunctionType</a> * </td>
<td class="paramname"> <em>costFunction</em> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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Set the cost function.
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<a class="anchor" name="9bfd9751567ae7af125d3660fcabb633"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetCostFunction" ref="9bfd9751567ae7af125d3660fcabb633" args="(SingleValuedCostFunction *costFunction)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetCostFunction </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classitk_1_1SingleValuedCostFunction.html">SingleValuedCostFunction</a> * </td>
<td class="paramname"> <em>costFunction</em> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
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Plug in a Cost <a class="el" href="namespaceitk_1_1Function.html">Function</a> into the optimizer
<p>Implements <a class="el" href="classitk_1_1SingleValuedNonLinearVnlOptimizer.html#3a79fcd824a23bd7f0ef1a939d82f38f">itk::SingleValuedNonLinearVnlOptimizer</a>.</p>
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<a class="anchor" name="bed7231f0c9771e445d5eed6f7f293c1"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetCostFunctionAdaptor" ref="bed7231f0c9771e445d5eed6f7f293c1" args="(CostFunctionAdaptorType *adaptor)" -->
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<td class="memname">void itk::SingleValuedNonLinearVnlOptimizer::SetCostFunctionAdaptor </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classitk_1_1SingleValuedVnlCostFunctionAdaptor.html">CostFunctionAdaptorType</a> * </td>
<td class="paramname"> <em>adaptor</em> </td>
<td> ) </td>
<td><code> [protected, inherited]</code></td>
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<p>
</div>
</div><p>
<a class="anchor" name="a42eb628bcd3a89143b8cd944f1df72e"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetCurrentPosition" ref="a42eb628bcd3a89143b8cd944f1df72e" args="(const ParametersType &param)" -->
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<td class="memname">virtual void itk::Optimizer::SetCurrentPosition </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1Array.html">ParametersType</a> & </td>
<td class="paramname"> <em>param</em> </td>
<td> ) </td>
<td><code> [protected, virtual, inherited]</code></td>
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<div class="memdoc">
<p>
Set the current position.
</div>
</div><p>
<a class="anchor" name="0b7aabc3944effad59f0f048d621645d"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetDebug" ref="0b7aabc3944effad59f0f048d621645d" args="(bool debugFlag) const " -->
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<td class="memname">void itk::Object::SetDebug </td>
<td>(</td>
<td class="paramtype">bool </td>
<td class="paramname"> <em>debugFlag</em> </td>
<td> ) </td>
<td> const<code> [inherited]</code></td>
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<div class="memdoc">
<p>
Set the value of the debug flag. <a class="el" href="classA.html">A</a> non-zero value turns debugging on.
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<a class="anchor" name="1e42d34a67f72d380451fc53603faef4"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetFunctionConvergenceTolerance" ref="1e42d34a67f72d380451fc53603faef4" args="(double tol)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetFunctionConvergenceTolerance </td>
<td>(</td>
<td class="paramtype">double </td>
<td class="paramname"> <em>tol</em> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
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<p>
The optimization algorithm will terminate when the simplex diameter and the difference in cost function at the corners of the simplex falls below user specified thresholds. The simplex diameter threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#cb8d30c0f70a927b8fa4e483b7864c56">SetParametersConvergenceTolerance()</a> with the default value being 1e-8. The cost function convergence threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#1e42d34a67f72d380451fc53603faef4">SetFunctionConvergenceTolerance()</a> with the default value being 1e-4.
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<a class="anchor" name="d8741136cb37a25e64c62ebf91794d4a"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetGlobalWarningDisplay" ref="d8741136cb37a25e64c62ebf91794d4a" args="(bool flag)" -->
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<td class="memname">static void itk::Object::SetGlobalWarningDisplay </td>
<td>(</td>
<td class="paramtype">bool </td>
<td class="paramname"> <em>flag</em> </td>
<td> ) </td>
<td><code> [static, inherited]</code></td>
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<p>
This is a global flag that controls whether any debug, warning or error messages are displayed.
<p>Referenced by <a class="el" href="itkObject_8h_source.html#l00100">itk::Object::GlobalWarningDisplayOff()</a>, and <a class="el" href="itkObject_8h_source.html#l00098">itk::Object::GlobalWarningDisplayOn()</a>.</p>
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<a class="anchor" name="46cb5f8c3401c277c7735dbfe5a934e8"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetInitialPosition" ref="46cb5f8c3401c277c7735dbfe5a934e8" args="(const ParametersType &param)" -->
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<td class="memname">virtual void itk::Optimizer::SetInitialPosition </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1Array.html">ParametersType</a> & </td>
<td class="paramname"> <em>param</em> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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</table>
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<div class="memdoc">
<p>
Set the position to initialize the optimization.
</div>
</div><p>
<a class="anchor" name="d4fad16610bd31b9c9e532c164daa76b"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetInitialSimplexDelta" ref="d4fad16610bd31b9c9e532c164daa76b" args="(ParametersType _arg)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetInitialSimplexDelta </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> </td>
<td class="paramname"> <em>_arg</em> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
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</table>
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<div class="memdoc">
<p>
Set/Get the deltas that are used to define the initial simplex when AutomaticInitialSimplex is off.
</div>
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<a class="anchor" name="7f86e1472214fa8fbfa01da07414a661"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetMaximize" ref="7f86e1472214fa8fbfa01da07414a661" args="(bool _arg)" -->
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<td class="memname">virtual void itk::SingleValuedNonLinearVnlOptimizer::SetMaximize </td>
<td>(</td>
<td class="paramtype">bool </td>
<td class="paramname"> <em>_arg</em> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
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<div class="memdoc">
<p>
Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
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</div><p>
<a class="anchor" name="c7a41d64bccd5eadcc9767ec41504b27"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetMaximumNumberOfIterations" ref="c7a41d64bccd5eadcc9767ec41504b27" args="(unsigned int n)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetMaximumNumberOfIterations </td>
<td>(</td>
<td class="paramtype">unsigned int </td>
<td class="paramname"> <em>n</em> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
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<p>
Set/Get the maximum number of iterations. The optimization algorithm will terminate after the maximum number of iterations has been reached. The default value is 500.
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<a class="anchor" name="7b61a8c36e3ddda0b464c064c4e25eff"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetMetaDataDictionary" ref="7b61a8c36e3ddda0b464c064c4e25eff" args="(const MetaDataDictionary &rhs)" -->
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<td class="memname">void itk::Object::SetMetaDataDictionary </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a> & </td>
<td class="paramname"> <em>rhs</em> </td>
<td> ) </td>
<td><code> [inherited]</code></td>
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<p>
<dl class="return" compact><dt><b>Returns:</b></dt><dd>Set the <a class="el" href="classitk_1_1MetaDataDictionary.html">MetaDataDictionary</a> </dd></dl>
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<a class="anchor" name="907df6f5ea5f00aa7648ee8b36d92f07"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetMinimize" ref="907df6f5ea5f00aa7648ee8b36d92f07" args="(bool v)" -->
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<td class="memname">void itk::SingleValuedNonLinearVnlOptimizer::SetMinimize </td>
<td>(</td>
<td class="paramtype">bool </td>
<td class="paramname"> <em>v</em> </td>
<td> ) </td>
<td><code> [inline, inherited]</code></td>
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<div class="memdoc">
<p>
Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html#l00074">74</a> of file <a class="el" href="itkSingleValuedNonLinearVnlOptimizer_8h_source.html">itkSingleValuedNonLinearVnlOptimizer.h</a>.</p>
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</div><p>
<a class="anchor" name="cb8d30c0f70a927b8fa4e483b7864c56"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetParametersConvergenceTolerance" ref="cb8d30c0f70a927b8fa4e483b7864c56" args="(double tol)" -->
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<td class="memname">virtual void itk::AmoebaOptimizer::SetParametersConvergenceTolerance </td>
<td>(</td>
<td class="paramtype">double </td>
<td class="paramname"> <em>tol</em> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
The optimization algorithm will terminate when the simplex diameter and the difference in cost function at the corners of the simplex falls below user specified thresholds. The simplex diameter threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#cb8d30c0f70a927b8fa4e483b7864c56">SetParametersConvergenceTolerance()</a> with the default value being 1e-8. The cost function convergence threshold is set via method <a class="el" href="classitk_1_1AmoebaOptimizer.html#1e42d34a67f72d380451fc53603faef4">SetFunctionConvergenceTolerance()</a> with the default value being 1e-4.
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<a class="anchor" name="10988882bd8c63886182f959ce5e0b3b"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetReferenceCount" ref="10988882bd8c63886182f959ce5e0b3b" args="(int)" -->
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<td class="memname">virtual void itk::Object::SetReferenceCount </td>
<td>(</td>
<td class="paramtype">int </td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual, inherited]</code></td>
</tr>
</table>
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<div class="memdoc">
<p>
Sets the reference count (use with care)
<p>Reimplemented from <a class="el" href="classitk_1_1LightObject.html#c065f10e03fbe34c9861830d23c107f1">itk::LightObject</a>.</p>
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</div><p>
<a class="anchor" name="b8bd201f92b5474f0640b81d378115fb"></a><!-- doxytag: member="itk::AmoebaOptimizer::SetScales" ref="b8bd201f92b5474f0640b81d378115fb" args="(const ScalesType &scales)" -->
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<td class="memname">void itk::Optimizer::SetScales </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classitk_1_1Array.html">ScalesType</a> & </td>
<td class="paramname"> <em>scales</em> </td>
<td> ) </td>
<td><code> [inherited]</code></td>
</tr>
</table>
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<div class="memdoc">
<p>
Set current parameters scaling.
</div>
</div><p>
<a class="anchor" name="799821d8bbd8b621ddb137a0e4a3d3b7"></a><!-- doxytag: member="itk::AmoebaOptimizer::StartOptimization" ref="799821d8bbd8b621ddb137a0e4a3d3b7" args="(void)" -->
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<td class="memname">void itk::AmoebaOptimizer::StartOptimization </td>
<td>(</td>
<td class="paramtype">void </td>
<td class="paramname"> </td>
<td> ) </td>
<td><code> [virtual]</code></td>
</tr>
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<p>
Start optimization with an initial value.
<p>Reimplemented from <a class="el" href="classitk_1_1Optimizer.html#6b00e84697e6109b0eaa3056395aaa19">itk::Optimizer</a>.</p>
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</div><p>
<a class="anchor" name="eb964c23f5ea55c3896efdc645524e55"></a><!-- doxytag: member="itk::AmoebaOptimizer::UnRegister" ref="eb964c23f5ea55c3896efdc645524e55" args="() const " -->
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<td class="memname">virtual void itk::Object::UnRegister </td>
<td>(</td>
<td class="paramname"> </td>
<td> ) </td>
<td> const<code> [virtual, inherited]</code></td>
</tr>
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<div class="memdoc">
<p>
Decrease the reference count (release by another object).
<p>Reimplemented from <a class="el" href="classitk_1_1LightObject.html#685281de558804ff66fab3ab50744b78">itk::LightObject</a>.</p>
</div>
</div><p>
<hr><h2>Member Data Documentation</h2>
<a class="anchor" name="0ea6465331732c1e08b49f6fb55dd618"></a><!-- doxytag: member="itk::AmoebaOptimizer::m_CostFunction" ref="0ea6465331732c1e08b49f6fb55dd618" args="" -->
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<td class="memname"><a class="el" href="classitk_1_1SmartPointer.html">CostFunctionPointer</a> <a class="el" href="classitk_1_1SingleValuedNonLinearOptimizer.html#0ea6465331732c1e08b49f6fb55dd618">itk::SingleValuedNonLinearOptimizer::m_CostFunction</a><code> [protected, inherited]</code> </td>
</tr>
</table>
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<div class="memdoc">
<p>
<p>Definition at line <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html#l00080">80</a> of file <a class="el" href="itkSingleValuedNonLinearOptimizer_8h_source.html">itkSingleValuedNonLinearOptimizer.h</a>.</p>
</div>
</div><p>
<a class="anchor" name="1fce3c9823a6947745f7b06748076189"></a><!-- doxytag: member="itk::AmoebaOptimizer::m_CurrentPosition" ref="1fce3c9823a6947745f7b06748076189" args="" -->
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<td class="memname"><a class="el" href="classitk_1_1AmoebaOptimizer.html#9877104fcb56caa2cd773003df6ee6bb">ParametersType</a> <a class="el" href="classitk_1_1Optimizer.html#1fce3c9823a6947745f7b06748076189">itk::Optimizer::m_CurrentPosition</a><code> [protected, inherited]</code> </td>
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<p>
<p>Definition at line <a class="el" href="itkOptimizer_8h_source.html#l00095">95</a> of file <a class="el" href="itkOptimizer_8h_source.html">itkOptimizer.h</a>.</p>
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</div><p>
<a class="anchor" name="499dbc304e9a6b929a4f339308788456"></a><!-- doxytag: member="itk::AmoebaOptimizer::m_ReferenceCount" ref="499dbc304e9a6b929a4f339308788456" args="" -->
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<td class="memname"><a class="el" href="classitk_1_1LightObject.html#dc057b9bc15dba2d9b7b8bd4fa0f6774">InternalReferenceCountType</a> <a class="el" href="classitk_1_1LightObject.html#499dbc304e9a6b929a4f339308788456">itk::LightObject::m_ReferenceCount</a><code> [mutable, protected, inherited]</code> </td>
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<p>
Number of uses of this object by other objects.
<p>Definition at line <a class="el" href="itkLightObject_8h_source.html#l00144">144</a> of file <a class="el" href="itkLightObject_8h_source.html">itkLightObject.h</a>.</p>
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<a class="anchor" name="b44ec95ff62bd5ea0315f7546ecac368"></a><!-- doxytag: member="itk::AmoebaOptimizer::m_ReferenceCountLock" ref="b44ec95ff62bd5ea0315f7546ecac368" args="" -->
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<td class="memname"><a class="el" href="classitk_1_1SimpleFastMutexLock.html">SimpleFastMutexLock</a> <a class="el" href="classitk_1_1LightObject.html#b44ec95ff62bd5ea0315f7546ecac368">itk::LightObject::m_ReferenceCountLock</a><code> [mutable, protected, inherited]</code> </td>
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<p>
Mutex lock to protect modification to the reference count
<p>Definition at line <a class="el" href="itkLightObject_8h_source.html#l00147">147</a> of file <a class="el" href="itkLightObject_8h_source.html">itkLightObject.h</a>.</p>
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<a class="anchor" name="d1c644d4282e24fafbc97bb9645cb2ee"></a><!-- doxytag: member="itk::AmoebaOptimizer::m_ScalesInitialized" ref="d1c644d4282e24fafbc97bb9645cb2ee" args="" -->
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<td class="memname">bool <a class="el" href="classitk_1_1Optimizer.html#d1c644d4282e24fafbc97bb9645cb2ee">itk::Optimizer::m_ScalesInitialized</a><code> [protected, inherited]</code> </td>
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<div class="memdoc">
<p>
<p>Definition at line <a class="el" href="itkOptimizer_8h_source.html#l00090">90</a> of file <a class="el" href="itkOptimizer_8h_source.html">itkOptimizer.h</a>.</p>
</div>
</div><p>
<hr>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="itkAmoebaOptimizer_8h_source.html">itkAmoebaOptimizer.h</a></ul>
</div>
<hr><address><small>
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src="http://www.stack.nl/~dimitri/doxygen/doxygen.png" alt="doxygen"
align="middle" border=0 width=110 height=53>
</a> 1.5.9 written by <a href="mailto:dimitri@stack.nl">Dimitri van Heesch</a>,
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