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2.12.0
reverse mode automatic differentiation
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stan
math
prim
mat
fun
dot_self.hpp
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#ifndef STAN_MATH_PRIM_MAT_FUN_DOT_SELF_HPP
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#define STAN_MATH_PRIM_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/err/check_vector.hpp
>
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namespace
stan
{
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namespace
math {
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template
<
int
R,
int
C>
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inline
double
dot_self
(
const
Eigen::Matrix<double, R, C>& v) {
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check_vector
(
"dot_self"
,
"v"
, v);
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return
v.squaredNorm();
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}
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}
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}
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#endif
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
Definition:
log_sum_exp.hpp:8
stan::math::dot_self
fvar< T > dot_self(const Eigen::Matrix< fvar< T >, R, C > &v)
Definition:
dot_self.hpp:16
Eigen.hpp
check_vector.hpp
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