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// SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
// SPDX-FileCopyrightText: Bradley M. Bell <bradbell@seanet.com>
// SPDX-FileContributor: 2003-22 Bradley M. Bell
// ----------------------------------------------------------------------------
/*
{xrst_begin double_sparse_hessian.cpp}
Double Speed: Sparse Hessian
############################
Specifications
**************
See :ref:`link_sparse_hessian-name` .
Implementation
**************
{xrst_spell_off}
{xrst_code cpp} */
# include <cppad/utility/vector.hpp>
# include <cppad/speed/uniform_01.hpp>
# include <cppad/speed/sparse_hes_fun.hpp>
// Note that CppAD uses global_option["memory"] at the main program level
# include <map>
extern std::map<std::string, bool> global_option;
bool link_sparse_hessian(
size_t size ,
size_t repeat ,
const CppAD::vector<size_t>& row ,
const CppAD::vector<size_t>& col ,
CppAD::vector<double>& x ,
CppAD::vector<double>& hessian ,
size_t& n_color )
{
if(global_option["onetape"]||global_option["atomic"]||global_option["optimize"]||global_option["boolsparsity"])
return false;
// -----------------------------------------------------
// setup
using CppAD::vector;
size_t order = 0; // derivative order corresponding to function
size_t n = size; // argument space dimension
size_t m = 1; // range space dimension
vector<double> y(m); // function value
// choose a value for x
CppAD::uniform_01(n, x);
// ------------------------------------------------------
while(repeat--)
{
// computation of the function
CppAD::sparse_hes_fun<double>(n, x, row, col, order, y);
}
hessian[0] = y[0];
return true;
}
/* {xrst_code}
{xrst_spell_on}
{xrst_end double_sparse_hessian.cpp}
*/
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