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reverse mode automatic differentiation
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stan
math
prim
mat
meta
is_vector.hpp
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#ifndef STAN_MATH_PRIM_MAT_META_IS_VECTOR_HPP
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#define STAN_MATH_PRIM_MAT_META_IS_VECTOR_HPP
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#include <
stan/math/prim/mat/fun/Eigen.hpp
>
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#include <
stan/math/prim/scal/meta/is_vector.hpp
>
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namespace
stan
{
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// FIXME: use boost::type_traits::remove_all_extents to
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// extend to array/ptr types
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template
<
typename
T>
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struct
is_vector
<
Eigen
::Matrix<T, Eigen::Dynamic, 1> > {
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enum
{
value
= 1 };
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typedef
T
type
;
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};
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template
<
typename
T>
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struct
is_vector
<
Eigen
::Matrix<T, 1, Eigen::Dynamic> > {
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enum
{
value
= 1 };
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typedef
T
type
;
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};
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template
<
typename
T>
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struct
is_vector
<
Eigen
::Block<T> > {
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enum
{
value
= 1 };
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typedef
T
type
;
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};
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}
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#endif
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stan::is_vector< Eigen::Block< T > >::type
T type
Definition:
is_vector.hpp:25
stan
Definition:
log_sum_exp.hpp:8
is_vector.hpp
Eigen
(Expert) Numerical traits for algorithmic differentiation variables.
Definition:
Eigen_NumTraits.hpp:8
stan::is_vector
Definition:
is_vector.hpp:10
stan::is_vector::value
Definition:
is_vector.hpp:11
Eigen.hpp
stan::is_vector< Eigen::Matrix< T, Eigen::Dynamic, 1 > >::type
T type
Definition:
is_vector.hpp:15
stan::is_vector< Eigen::Matrix< T, 1, Eigen::Dynamic > >::type
T type
Definition:
is_vector.hpp:20
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