#include <itkPowellOptimizer.h>
Inheritance diagram for itk::PowellOptimizer:
Public Types | |
typedef PowellOptimizer | Self |
typedef SingleValuedNonLinearOptimizer | Superclass |
typedef SmartPointer< Self > | Pointer |
typedef SmartPointer< const Self > | ConstPointer |
typedef SingleValuedNonLinearOptimizer::ParametersType | ParametersType |
typedef SingleValuedCostFunction | CostFunctionType |
typedef CostFunctionType::Pointer | CostFunctionPointer |
Public Member Functions | |
virtual const char * | GetNameOfClass () const |
virtual const unsigned int & | GetCurrentIteration () |
virtual const unsigned int & | GetCurrentLineIteration () |
void | StartOptimization () |
void | StopOptimization () |
virtual void | SetMaximize (bool _arg) |
virtual const bool & | GetMaximize () |
virtual void | SetMaximumIteration (unsigned int _arg) |
virtual const unsigned int & | GetMaximumIteration () |
virtual void | SetMaximumLineIteration (unsigned int _arg) |
virtual unsigned int | GetMaximumLineIteration () const |
virtual void | SetStepLength (double _arg) |
virtual const double & | GetStepLength () |
virtual void | SetStepTolerance (double _arg) |
virtual const double & | GetStepTolerance () |
virtual void | SetValueTolerance (double _arg) |
virtual const double & | GetValueTolerance () |
virtual const MeasureType & | GetCurrentCost () |
MeasureType | GetValue () const |
Static Public Member Functions | |
Pointer | New () |
Protected Member Functions | |
PowellOptimizer () | |
PowellOptimizer (const PowellOptimizer &) | |
virtual | ~PowellOptimizer () |
void | PrintSelf (std::ostream &os, Indent indent) const |
virtual void | SetCurrentCost (double _arg) |
void | SetLine (const ParametersType &origin, const vnl_vector< double > &direction) |
double | GetLineValue (double x) const |
void | SetCurrentLinePoint (double x, double fx) |
void | Swap (double *a, double *b) const |
void | Shift (double *a, double *b, double *c, double d) const |
virtual void | LineBracket (double *ax, double *bx, double *cx, double *fa, double *fb, double *fc) |
virtual void | BracketedLineOptimize (double ax, double bx, double cx, double fa, double fb, double fc, double *extX, double *extVal) |
virtual unsigned int | GetSpaceDimension () |
virtual void | SetSpaceDimension (unsigned int _arg) |
virtual void | SetCurrentIteration (unsigned int _arg) |
virtual bool | GetStop () |
virtual void | SetStop (bool _arg) |
This optimizer needs a cost function. Partial derivatives of that function are not required.
For an N-dimensional parameter space, each iteration minimizes(maximizes) the function in N (initially orthogonal) directions. Typically only 2-5 iterations are required. If gradients are available, consider a conjugate gradient line search strategy.
The SetStepLength determines the initial distance to step in a line direction when bounding the minimum (using bracketing triple spaced using a golden search strategy).
The StepTolerance terminates optimization when the parameter values are known to be within this (scaled) distance of the local extreme.
The ValueTolerance terminates optimization when the cost function values at the current parameters and at the local extreme are likely (within a second order approximation) to be within this is tolerance.
Definition at line 54 of file itkPowellOptimizer.h.
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Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 62 of file itkPowellOptimizer.h. |
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Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 75 of file itkPowellOptimizer.h. |
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Type of the Cost Function Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 74 of file itkPowellOptimizer.h. |
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Parameters type. It defines a position in the optimization search space. Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 65 of file itkPowellOptimizer.h. Referenced by StopOptimization(). |
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Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 61 of file itkPowellOptimizer.h. |
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Standard "Self" typedef. Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 59 of file itkPowellOptimizer.h. |
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Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. Definition at line 60 of file itkPowellOptimizer.h. |
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Given a bracketing triple of points and their function values, returns a bounded extreme. These values are in parameter space, along the current line and wrt the current origin set via SetLine. Optimization terminates based on MaximumIteration, StepTolerance, or ValueTolerance. Implemented as Brent line optimers from NRC. |
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Return Current Value |
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Return Current Iteration |
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Get the current line search iteration |
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Get the value of the n-dimensional cost function at this scalar step distance along the current line direction from the current line origin. Line origin and distances are set via SetLine |
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Set if the Optimizer should Maximize the metric |
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Set/Get maximum iteration limit. |
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Set/Get the maximum number of line search iterations |
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Run-time type information (and related methods). Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. |
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Set/Get StepLength for the (scaled) spacing of the sampling of parameter space while bracketing the extremum |
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Set/Get StepTolerance. Once the local extreme is known to be within this distance of the current parameter values, optimization terminates |
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Return Current Value Definition at line 113 of file itkPowellOptimizer.h. |
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Set/Get ValueTolerance. Once this current cost function value is known to be within this tolerance of the cost function value at the local extreme, optimization terminates |
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The LineBracket routine from NRC. Uses current origin and line direction (from SetLine) to find a triple of points (ax, bx, cx) that bracket the extreme "near" the origin. Search first considers the point StepLength distance from ax. IMPORTANT: The value of ax and the value of the function at ax (i.e., fa), must both be provided to this function. |
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Method for creation through the object factory. Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. |
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::SingleValuedNonLinearOptimizer. Reimplemented in itk::FRPROptimizer. |
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Set the given scalar step distance (x) and function value (fx) as the "best-so-far" optimizer values. |
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Used to specify the line direction through the n-dimensional parameter space the is currently being bracketed and optimized. |
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Set if the Optimizer should Maximize the metric |
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Set/Get maximum iteration limit. |
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Set/Get the maximum number of line search iterations |
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Set/Get StepLength for the (scaled) spacing of the sampling of parameter space while bracketing the extremum |
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Set/Get StepTolerance. Once the local extreme is known to be within this distance of the current parameter values, optimization terminates |
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Set/Get ValueTolerance. Once this current cost function value is known to be within this tolerance of the cost function value at the local extreme, optimization terminates |
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Used in bracketing the extreme along the current line. Adapted from NRC |
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Start optimization. Reimplemented from itk::Optimizer. Reimplemented in itk::FRPROptimizer. |
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When users call StartOptimization, this value will be set false. By calling StopOptimization, this flag will be set true, and optimization will stop at the next iteration. Definition at line 128 of file itkPowellOptimizer.h. References ParametersType. |
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Used in bracketing the extreme along the current line. Adapted from NRC |