Automatic Differentiation
 
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diag_pre_multiply.hpp
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1#ifndef STAN_MATH_PRIM_FUN_DIAG_PRE_MULTIPLY_HPP
2#define STAN_MATH_PRIM_FUN_DIAG_PRE_MULTIPLY_HPP
3
6
7namespace stan {
8namespace math {
9
22template <typename T1, typename T2, require_eigen_vector_t<T1>* = nullptr,
23 require_eigen_t<T2>* = nullptr,
24 require_all_not_st_var<T1, T2>* = nullptr>
25auto diag_pre_multiply(const T1& m1, const T2& m2) {
26 check_size_match("diag_pre_multiply", "m1.size()", m1.size(), "m2.rows()",
27 m2.rows());
28
29 return m1.asDiagonal() * m2;
30}
31
32} // namespace math
33} // namespace stan
34#endif
auto diag_pre_multiply(const T1 &m1, const T2 &m2)
Return the product of the diagonal matrix formed from the vector or row_vector and a matrix.
void check_size_match(const char *function, const char *name_i, T_size1 i, const char *name_j, T_size2 j)
Check if the provided sizes match.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9