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SimTK::DefaultOptimizer Class Reference

#include <OptimizerRep.h>

+ Inheritance diagram for SimTK::DefaultOptimizer:

Additional Inherited Members

- Public Member Functions inherited from SimTK::Optimizer::OptimizerRep
virtual ~OptimizerRep ()
 
 OptimizerRep (const OptimizerSystem &sys)
 
 OptimizerRep ()
 
const OptimizerSystemgetOptimizerSystem () const
 
void setDiagnosticsLevel (const int level)
 
void setConvergenceTolerance (Real accuracy)
 
void setConstraintTolerance (Real tolerance)
 
void setMaxIterations (const int iter)
 
void setLimitedMemoryHistory (const int history)
 
bool setAdvancedStrOption (const std::string &option, const std::string &value)
 
bool setAdvancedRealOption (const std::string &option, const Real value)
 
bool setAdvancedIntOption (const std::string &option, const int value)
 
bool setAdvancedBoolOption (const std::string &option, const bool value)
 
bool getAdvancedStrOption (const std::string &option, std::string &value) const
 
bool getAdvancedRealOption (const std::string &option, Real &value) const
 
bool getAdvancedIntOption (const std::string &option, int &value) const
 
bool getAdvancedBoolOption (const std::string &option, bool &value) const
 
void setMyHandle (Optimizer &cp)
 
const OptimizergetMyHandle () const
 
void clearMyHandle ()
 
void useNumericalGradient (bool flag, Real objEstAccuracy)
 
void useNumericalJacobian (bool flag, Real consEstAccuracy)
 
void setDifferentiatorMethod (Differentiator::Method method)
 
bool isUsingNumericalGradient () const
 
bool isUsingNumericalJacobian () const
 
Differentiator::Method getDifferentiatorMethod () const
 
Real getEstimatedAccuracyOfObjective () const
 
Real getEstimatedAccuracyOfConstraints () const
 
const DifferentiatorgetGradientDifferentiator () const
 
const DifferentiatorgetJacobianDifferentiator () const
 
- Static Public Member Functions inherited from SimTK::Optimizer::OptimizerRep
static bool isAvailable ()
 
static int numericalGradient_static (const OptimizerSystem &, const Vector &parameters, const bool new_parameters, Vector &gradient)
 
static int numericalJacobian_static (const OptimizerSystem &, const Vector &parameters, const bool new_parameters, Matrix &jacobian)
 
- Static Protected Member Functions inherited from SimTK::Optimizer::OptimizerRep
static int objectiveFuncWrapper (int n, const Real *x, int new_x, Real *f, void *rep)
 
static int gradientFuncWrapper (int n, const Real *x, int new_x, Real *gradient, void *rep)
 
static int constraintFuncWrapper (int n, const Real *x, int new_x, int m, Real *g, void *rep)
 
static int constraintJacobianWrapper (int n, const Real *x, int new_x, int m, int nele_jac, int *iRow, int *jCol, Real *values, void *rep)
 
static int hessianWrapper (int n, const Real *x, int new_x, Real obj_factor, int m, Real *lambda, int new_lambda, int nele_hess, int *iRow, int *jCol, Real *values, void *rep)
 
- Protected Attributes inherited from SimTK::Optimizer::OptimizerRep
int diagnosticsLevel
 
Real convergenceTolerance
 
Real constraintTolerance
 
int maxIterations
 
int limitedMemoryHistory
 
Differentiator::Method diffMethod
 
Real objectiveEstimatedAccuracy
 
Real constraintsEstimatedAccuracy
 

The documentation for this class was generated from the following file: