util.hxx File Reference

#include <roboptim/core/differentiable-function.hh>

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Namespaces
namespace	roboptim
	defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
namespace	roboptim::detail

Functions
template<typename T>
void	roboptim::detail::jacobian_from_gradients (DifferentiableFunction::matrix_ref jac, const std::vector< const T * > &c, DifferentiableFunction::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.
template<typename U>
void	roboptim::copySparseBlock (U &matrix, const U &block, Function::size_type startRow, Function::size_type startCol, bool compress=false)
	Copy a sparse block into a sparse matrix.
double	roboptim::normalize (double x)
	Apply normalize to a scalar.
template<typename T>
T	roboptim::normalize (const T &x)
	Apply normalize to each element of an Eigen vector.