Eigen_NumTraits.hpp File Reference

#include <limits>
#include <stan/math/matrix/Eigen.hpp>
#include <stan/agrad/rev/var.hpp>

Go to the source code of this file.

Classes
struct	Eigen::NumTraits< stan::agrad::var >
	Numerical traits template override for Eigen for automatic gradient variables. More...
struct	Eigen::internal::significant_decimals_default_impl< stan::agrad::var, false >
	Implemented this for printing to stream. More...
struct	Eigen::internal::scalar_product_traits< stan::agrad::var, double >
	Scalar product traits override for Eigen for automatic gradient variables. More...
struct	Eigen::internal::scalar_product_traits< double, stan::agrad::var >
	Scalar product traits override for Eigen for automatic gradient variables. More...
struct	Eigen::internal::general_matrix_vector_product< Index, stan::agrad::var, ColMajor, ConjugateLhs, stan::agrad::var, ConjugateRhs >
	Override matrix-vector and matrix-matrix products to use more efficient implementation. More...
struct	Eigen::internal::general_matrix_vector_product< Index, stan::agrad::var, RowMajor, ConjugateLhs, stan::agrad::var, ConjugateRhs >
struct	Eigen::internal::general_matrix_matrix_product< Index, stan::agrad::var, LhsStorageOrder, ConjugateLhs, stan::agrad::var, RhsStorageOrder, ConjugateRhs, ColMajor >

Namespaces
namespace	stan
	Probability, optimization and sampling library.
namespace	stan::agrad
	Function gradients via reverse-mode automatic differentiation.
namespace	Eigen
	(Expert) Numerical traits for algorithmic differentiation variables.
namespace	Eigen::internal
	(Expert) Product traits for algorithmic differentiation variables.

Variable Documentation

stan::agrad::vari* alpha_

static

Definition at line 14 of file Eigen_NumTraits.hpp.

double dotval_

Definition at line 17 of file Eigen_NumTraits.hpp.

size_t length_

Definition at line 18 of file Eigen_NumTraits.hpp.

stan::agrad::vari** v1_

Definition at line 15 of file Eigen_NumTraits.hpp.

stan::agrad::vari** v2_

Definition at line 16 of file Eigen_NumTraits.hpp.