Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/rev/meta.hpp>
#include <stan/math/rev/core.hpp>
#include <stan/math/rev/fun/value_of_rec.hpp>
#include <stan/math/rev/fun/value_of.hpp>
#include <stan/math/prim/fun/typedefs.hpp>
#include <stan/math/prim/fun/cholesky_decompose.hpp>
#include <stan/math/prim/err/check_pos_definite.hpp>
#include <stan/math/prim/err/check_square.hpp>
#include <stan/math/prim/err/check_symmetric.hpp>
#include <algorithm>
#include <vector>
Go to the source code of this file.
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. | |
namespace | stan::math::internal |
A comparator that works for any container type that has the brackets operator. | |
Functions | |
template<typename LMat , typename LAMat > | |
void | stan::math::internal::initialize_return (LMat &L, const LAMat &L_A, vari *&dummy) |
template<typename T1 , typename T2 , typename T3 > | |
auto | stan::math::internal::unblocked_cholesky_lambda (T1 &L_A, T2 &L, T3 &A) |
Reverse mode differentiation algorithm reference: | |
template<typename T1 , typename T2 , typename T3 > | |
auto | stan::math::internal::cholesky_lambda (T1 &L_A, T2 &L, T3 &A) |
Reverse mode differentiation algorithm reference: | |
template<typename EigMat , require_eigen_vt< is_var, EigMat > * = nullptr> | |
auto | stan::math::cholesky_decompose (const EigMat &A) |
Reverse mode specialization of cholesky decomposition. | |
template<typename T , require_var_matrix_t< T > * = nullptr> | |
auto | stan::math::cholesky_decompose (const T &A) |
Reverse mode specialization of Cholesky decomposition. | |