\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
atomic_four_mat_mul_implement¶
View page sourceImplementing Atomic Matrix Multiply¶
Contents¶
Name |
Title |
---|---|
atomic_four_mat_mul.hpp |
|
atomic_four_mat_mul_set.hpp |
|
atomic_four_mat_mul_get.hpp |
|
atomic_four_mat_mul_base_mat_mul.hpp |
|
atomic_four_mat_mul_for_type.hpp |
Atomic Matrix Multiply Forward Type Calculation: Example Implementation |
atomic_four_mat_mul_forward.hpp |
|
atomic_four_mat_mul_reverse.hpp |
|
atomic_four_mat_mul_jac_sparsity.hpp |
Atomic Matrix Multiply Jacobian Sparsity Pattern: Example Implementation |
atomic_four_mat_mul_hes_sparsity.hpp |
Atomic Matrix Multiply Jacobian Sparsity Pattern: Example Implementation |
atomic_four_mat_mul_rev_depend.hpp |
Atomic Matrix Multiply Reverse Dependency Analysis: Example Implementation |