Inheritance diagram for Optimization::InequalityBarrierNLP:

Public Member Functions
	InequalityBarrierNLP (NonlinearProgram &nlp, Real alpha=One)

void	SetBarrierScale (Real alpha)

Public Member Functions inherited from Optimization::NonlinearProgram
	NonlinearProgram (const std::shared_ptr< ScalarFieldFunction > &f, const std::shared_ptr< VectorFieldFunction > &c=NULL, const std::shared_ptr< VectorFieldFunction > &d=NULL)

void	PreEval (const Vector &x)

bool	SatisfiesEquality (const Vector &x, Real tol=Epsilon)

bool	SatisfiesInequality (const Vector &x)

Real	Lagrangian (const Vector &x, const Vector &lambda, const Vector &mu)

Real	LagrangianEval (const Vector &x, const Vector &lambda, const Vector &mu)
	use these if it's faster to evaluate all constraints together

void	LagrangianGradient (const Vector &x, const Vector &lambda, const Vector &mu, Vector &grad)

void	LagrangianHessian (const Vector &x, const Vector &lambda, const Vector &mu, Matrix &H)

Real	LagrangianEval_Sparse (const Vector &x, const Vector &lambda, const Vector &mu)
	use these if it's faster to evaluate constraints separately

void	LagrangianGradient_Sparse (const Vector &x, const Vector &lambda, const Vector &mu, Vector &grad)

void	LagrangianHessian_Sparse (const Vector &x, const Vector &lambda, const Vector &mu, Matrix &H)

Public Attributes
std::shared_ptr< LogarithmicBarrierFunction >	f_alpha

Public Attributes inherited from Optimization::NonlinearProgram
std::shared_ptr< ScalarFieldFunction >	f

std::shared_ptr< VectorFieldFunction >	c

std::shared_ptr< VectorFieldFunction >	d

bool	minimize

bool	inequalityLess
	true if f is to be minimized, false if maximized

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

Public Member Functions

Public Attributes