Inheritance diagram for SimTK::DefaultOptimizer:

Additional Inherited Members
Public Member Functions inherited from SimTK::Optimizer::OptimizerRep
virtual	~OptimizerRep ()

	OptimizerRep (const OptimizerSystem &sys)

	OptimizerRep ()

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

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

Additional Inherited Members