util.hh File Reference

#include <roboptim/core/fwd.hh>
#include <roboptim/core/portability.hh>
#include <vector>
#include <utility>
#include <map>
#include <string>
#include <roboptim/core/function.hh>
#include <roboptim/core/util.hxx>

Namespaces
namespace	roboptim
	defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
namespace	roboptim::detail
Functions
ROBOPTIM_DLLAPI void	roboptim::detail::vector_to_array (Function::value_type *dst, Function::const_vector_ref src)
ROBOPTIM_DLLAPI void	roboptim::detail::array_to_vector (Function::vector_ref dst, const Function::value_type *src)
template<typename T >
void	roboptim::detail::jacobian_from_gradients (Function::matrix_ref jac, const std::vector< const T * > &c, Function::const_vector_ref x)
template<typename T >
std::ostream &	roboptim::operator<< (std::ostream &, const std::vector< T > &)
	Display a vector.
template<typename T1 , typename T2 >
std::ostream &	roboptim::operator<< (std::ostream &, const std::pair< T1, T2 > &)
	Display a pair.
template<typename T1 , typename T2 >
std::ostream &	roboptim::operator<< (std::ostream &, const std::map< T1, T2 > &)
	Display a map.
template<typename T >
std::ostream &	roboptim::operator<< (std::ostream &, const Eigen::MatrixBase< T > &)
	Display an Eigen object with the appropriate IOFormat.
ROBOPTIM_DLLAPI const std::string	roboptim::demangle (const char *name)
	Demangle (if available).
template<typename T >
std::string	roboptim::typeString ()
	Return a string describing the type of T.
ROBOPTIM_DLLAPI GenericFunctionTraits < EigenMatrixDense >::matrix_t	roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_matrix_ref m)
	Convert a sparse matrix into a dense matrix.
ROBOPTIM_DLLAPI GenericFunctionTraits < EigenMatrixDense >::vector_t	roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_gradient_ref v)
	Convert a sparse vector into a dense vector.
ROBOPTIM_DLLAPI GenericFunctionTraits < EigenMatrixDense > ::gradient_t	roboptim::toDense (GenericFunctionTraits< EigenMatrixSparse >::const_gradient_ref g)
	Convert an input gradient to a dense gradient (e.g.
ROBOPTIM_DLLAPI GenericFunctionTraits < EigenMatrixDense >::matrix_t	roboptim::toDense (GenericFunctionTraits< EigenMatrixSparse >::const_matrix_ref m)
	Convert an input matrix to a dense matrix (e.g.
ROBOPTIM_DLLAPI GenericFunctionTraits < EigenMatrixDense > ::const_matrix_ref	roboptim::toDense (GenericFunctionTraits< EigenMatrixDense >::const_matrix_ref m)
	Convert an input matrix to a dense matrix (e.g.
ROBOPTIM_DLLAPI bool	roboptim::allclose (const Eigen::SparseMatrix< double > &a, const Eigen::SparseMatrix< double > &b, double rtol=Eigen::NumTraits< double >::dummy_precision(), double atol=Eigen::NumTraits< double >::epsilon())
	Compare sparse vectors (matrices) using both relative and absolute tolerances.
ROBOPTIM_DLLAPI bool	roboptim::allclose (const Eigen::Ref< const Eigen::MatrixXd > &a, const Eigen::Ref< const Eigen::MatrixXd > &b, double rtol=Eigen::NumTraits< double >::dummy_precision(), double atol=Eigen::NumTraits< double >::epsilon())
	Compare dense vectors (matrices) using both relative and absolute tolerances.
template<typename U >
void	roboptim::copySparseBlock (U &m, const U &b, Function::size_type startRow, Function::size_type startCol, bool compress=false)
	Copy a sparse block into a sparse matrix.
template<typename M , typename B >
void	roboptim::updateSparseBlock (M &m, const B &b, Function::size_type startRow, Function::size_type startCol)
	Update a sparse block of a sparse matrix.
double	roboptim::normalize (double x, double eps=1e-8)
	Apply normalize to a scalar.
template<typename T >
T	roboptim::normalize (const T &x, double eps=1e-8)
	Apply normalize to each element of an Eigen vector.