to_soa_sparse_matrix.hpp File Reference

#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/rev/core.hpp>
#include <stan/math/rev/meta.hpp>
#include <stan/math/prim/meta.hpp>
#include <type_traits>

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Namespaces
namespace	stan
	The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.
namespace	stan::math
	Matrices and templated mathematical functions.

Functions
template<int Options = Eigen::ColMajor, typename VarMatrix , typename Vec1 , typename Vec2 , require_var_t< VarMatrix > * = nullptr, require_eigen_dense_base_t< value_type_t< VarMatrix > > * = nullptr, require_all_std_vector_vt< std::is_integral, Vec1, Vec2 > * = nullptr>
auto	stan::math::to_soa_sparse_matrix (int m, int n, VarMatrix &&w, Vec1 &&u, Vec2 &&v)
	Create a sparse matrix from the given SoA matrix and indexes.
template<int Options = Eigen::ColMajor, typename MatrixVar , typename Vec1 , typename Vec2 , require_eigen_dense_base_vt< is_var, MatrixVar > * = nullptr, require_all_std_vector_vt< std::is_integral, Vec1, Vec2 > * = nullptr>
auto	stan::math::to_soa_sparse_matrix (int m, int n, MatrixVar &&w, Vec1 &&u, Vec2 &&v)
	Create a sparse matrix from the given AoS matrix of vars and indexes.
template<int Options = Eigen::ColMajor, typename Mat , typename Vec1 , typename Vec2 , require_eigen_dense_base_vt< std::is_arithmetic, Mat > * = nullptr, require_all_std_vector_vt< std::is_integral, Vec1, Vec2 > * = nullptr>
auto	stan::math::to_soa_sparse_matrix (int m, int n, Mat &&w, Vec1 &&u, Vec2 &&v)
	Create a sparse matrix from the given matrix of floats and indexes.