Speed Test Derivatives Using cppad

@(@\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 . Speed Test Derivatives Using cppad_jit
Purpose
CppAD has a set of speed tests that are used to compare cppad_jit with other AD packages. This section links to the source code the cppad_jit speed tests (any suggestions to make the cppad_jit results faster are welcome).

Running Tests
To build these speed tests, and run their correctness tests, execute the following commands starting in the build directory :



    cd speed/cppad_jit

    make check_speed_cppad_jit VERBOSE=1

You can then run the corresponding speed tests with the following command



    ./speed_cppad_jit speed seed

where seed is a positive integer. See speed_main for more options.

Contents

cppad_jit Speed: Gradient of Determinant by Minor Expansion
cppad_jit Speed: Gradient of Determinant Using Lu Factorization
cppad_jit Speed: Matrix Multiplication
cppad_jit Speed: Ode
cppad_jit Speed: Second Derivative of a Polynomial
cppad_jit Speed: Sparse Hessian
cppad_jit Speed: sparse_jacobian

Input File: speed/cppad_jit/speed_cppad_jit.omh