\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)

colpack_prefix

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Enabling Colpack Sparsity Calculations

Colpack Home Page

https://github.com/CSCsw/ColPack

Purpose

If you specify a colpack_prefix on the CMake Command line, the CppAD sparse_jacobian and sparse_hessian calculations can use this package.

colpack_prefix

If Colpack is installed on your system, you can specify a value for its install colpack_prefix on the cmake command line. The value of colpack_prefix must be such that, for one of the directories dir in cmake_install_includedirs ,

colpack_prefix / dir / ColPack/ColPackHeaders.h

is a valid way to reference to the include file ColPackHeaders.h .

cppad_lib

The Colpack header files has a

using namespace std

at the global level. For this reason, CppAD does not include these files. It is therefore necessary to link the object library cppad_lib when using Colpack.

Example

The file colpack_jac.cpp (colpack_hes.cpp ) contains an example and test of using Colpack to compute the coloring for sparse Jacobians (Hessians).

get_colpack

If you are using Unix, you can download and install a copy of Colpack using get_colpack.sh . The corresponding colpack_prefix would be build/prefix .