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 ()
virtual OptimizerRep *	clone () const
virtual Real	optimize (Vector &results)=0
const OptimizerSystem &	getOptimizerSystem () 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 Optimizer &	getMyHandle () 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 Differentiator &	getGradientDifferentiator () const
const Differentiator &	getJacobianDifferentiator () const
virtual OptimizerAlgorithm	getAlgorithm () const =0
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:

• OptimizerRep.h