Implementing Atomic Matrix Multiply

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@(@\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}} }@)@This is cppad-20221105 documentation. Here is a link to its current documentation . Implementing Atomic Matrix Multiply
Contents

atomic_four_mat_mul.hpp	Atomic Matrix Multiply Class: Example Implementation
atomic_four_mat_mul_set.hpp	atomic_mat_mul Set Routine: Example Implementation
atomic_four_mat_mul_get.hpp	atomic_mat_mul Get Routine: Example Implementation
atomic_four_mat_mul_base_mat_mul.hpp	Atomic Multiply Base Matrices: Example Implementation
atomic_four_mat_mul_for_type.hpp	Atomic Matrix Multiply Forward Type Calculation: Example Implementation
atomic_four_mat_mul_forward.hpp	Atomic Matrix Multiply Forward Mode: Example Implementation
atomic_four_mat_mul_reverse.hpp	Atomic Matrix Multiply Reverse Mode: Example Implementation
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

Input File: include/cppad/example/atomic_four/mat_mul/implement.omh