Stan Math Library  2.14.0
reverse mode automatic differentiation
Classes | Namespaces
Eigen_NumTraits.hpp File Reference
#include <stan/math/prim/mat/fun/Eigen.hpp>
#include <stan/math/rev/core.hpp>
#include <stan/math/rev/core/std_numeric_limits.hpp>
#include <limits>

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Classes

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

Namespaces

 Eigen
 (Expert) Numerical traits for algorithmic differentiation variables.
 
 Eigen::internal
 (Expert) Product traits for algorithmic differentiation variables.
 

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