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