Stan Math Library
2.8.0
reverse mode automatic differentiation
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stan
math
fwd
mat
fun
dot_self.hpp
Go to the documentation of this file.
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#ifndef STAN_MATH_FWD_MAT_FUN_DOT_SELF_HPP
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#define STAN_MATH_FWD_MAT_FUN_DOT_SELF_HPP
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#include <
stan/math/prim/mat/fun/Eigen.hpp
>
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#include <
stan/math/prim/mat/fun/typedefs.hpp
>
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#include <
stan/math/prim/mat/err/check_vector.hpp
>
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#include <
stan/math/fwd/core.hpp
>
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#include <
stan/math/fwd/mat/fun/dot_product.hpp
>
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#include <vector>
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namespace
stan {
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namespace
math {
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template
<
typename
T,
int
R,
int
C>
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inline
fvar<T>
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dot_self
(
const
Eigen::Matrix<
fvar<T>
, R, C>& v) {
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stan::math::check_vector
(
"dot_self"
,
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"v"
, v);
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return
dot_product
(v, v);
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}
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}
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}
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#endif
core.hpp
stan::math::check_vector
bool check_vector(const char *function, const char *name, const Eigen::Matrix< T, R, C > &x)
Return true if the matrix is either a row vector or column vector.
Definition:
check_vector.hpp:34
stan::math::dot_self
fvar< T > dot_self(const Eigen::Matrix< fvar< T >, R, C > &v)
Definition:
dot_self.hpp:16
dot_product.hpp
stan::math::dot_product
fvar< T > dot_product(const Eigen::Matrix< fvar< T >, R1, C1 > &v1, const Eigen::Matrix< fvar< T >, R2, C2 > &v2)
Definition:
dot_product.hpp:20
Eigen.hpp
check_vector.hpp
stan::math::fvar
Definition:
fvar.hpp:13
typedefs.hpp
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