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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 .
Xpackage Speed: Gradient of Determinant Using Lu Factorization

Specifications
link_det_lu

Implementation
A xpackage version of this test is not yet implemented
# include <map>
# include <cppad/utility/vector.hpp>

// list of possible options
extern std::map<std::string, bool> global_option;

bool link_det_lu(
    size_t                     size     ,
    size_t                     repeat   ,
    CppAD::vector<double>     &matrix   ,
    CppAD::vector<double>     &gradient )
{   return false; }

Input File: speed/xpackage/det_lu.cpp