#include <roboptim/core/fwd.hh>#include <roboptim/core/portability.hh>#include <vector>#include <utility>#include <map>#include <roboptim/core/twice-differentiable-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 (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. | |
| 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 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 &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. | |