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Start of module "NonLinear". We start out of cminpack-1.0.2
(http://devernay.free.fr/hacks/cminpack.html) The first test is adapted from the example/ directory. Some stuff is hard coded for our initial tests.
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17
unsupported/Eigen/NonLinear
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17
unsupported/Eigen/NonLinear
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#ifndef EIGEN_NONLINEAR_MODULE_H
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#define EIGEN_NONLINEAR_MODULE_H
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#include <Eigen/Core>
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namespace Eigen {
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/** \ingroup Unsupported_modules
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* \defgroup Support for non linear optimization and non linear least
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* square using minpack routines.
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*/
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#include "src/NonLinear/MathFunctions.h"
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}
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#endif // EIGEN_NONLINEAR_MODULE_H
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unsupported/Eigen/src/NonLinear/CMakeLists.txt
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unsupported/Eigen/src/NonLinear/CMakeLists.txt
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FILE(GLOB Eigen_NonLinear_SRCS "*.h")
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INSTALL(FILES
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${Eigen_NonLinear_SRCS}
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DESTINATION ${INCLUDE_INSTALL_DIR}/unsupported/Eigen/src/NonLinear COMPONENT Devel
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)
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unsupported/Eigen/src/NonLinear/MathFunctions.h
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unsupported/Eigen/src/NonLinear/MathFunctions.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_NONLINEAR_MATHFUNCTIONS_H
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#define EIGEN_NONLINEAR_MATHFUNCTIONS_H
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#include <cminpack.h>
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#endif // EIGEN_NONLINEAR_MATHFUNCTIONS_H
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@ -15,6 +15,11 @@ else(ADOLC_FOUND)
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ei_add_property(EIGEN_MISSING_BACKENDS "Adolc")
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endif(ADOLC_FOUND)
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# temporary :
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include_directories(/home/orzel/tmp/cminpack-1.0.2/)
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LINK_LIBRARIES(/home/orzel/tmp/cminpack-1.0.2/libminpack.a)
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ei_add_test(NonLinear)
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ei_add_test(autodiff)
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ei_add_test(BVH)
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ei_add_test(matrixExponential)
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126
unsupported/test/NonLinear.cpp
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unsupported/test/NonLinear.cpp
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
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#include "main.h"
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#include <stdio.h>
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#include <math.h>
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#include <cminpack.h>
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int fcn(int m, int n, const double *x, double *fvec, double *fjac, int ldfjac, int iflag);
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void testChkder()
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{
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int i, m, n, ldfjac;
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double x[3], fvec[15], fjac[15*3], xp[3], fvecp[15],
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err[15];
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m = 15;
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n = 3;
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/* the following values should be suitable for */
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/* checking the jacobian matrix. */
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x[1-1] = 9.2e-1;
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x[2-1] = 1.3e-1;
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x[3-1] = 5.4e-1;
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ldfjac = 15;
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chkder(m, n, x, fvec, fjac, ldfjac, xp, fvecp, 1, err);
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fcn(m, n, x, fvec, fjac, ldfjac, 1);
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fcn(m, n, x, fvec, fjac, ldfjac, 2);
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fcn(m, n, xp, fvecp, fjac, ldfjac, 1);
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chkder(m, n, x, fvec, fjac, ldfjac, xp, fvecp, 2, err);
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for (i=1; i<=m; i++)
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{
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fvecp[i-1] = fvecp[i-1] - fvec[i-1];
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}
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double fvec_ref[] = {
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-1.181606, -1.429655, -1.606344,
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-1.745269, -1.840654, -1.921586,
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-1.984141, -2.022537, -2.468977,
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-2.827562, -3.473582, -4.437612,
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-6.047662, -9.267761, -18.91806
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};
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double fvecp_ref[] = {
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-7.724666e-09, -3.432406e-09, -2.034843e-10,
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2.313685e-09, 4.331078e-09, 5.984096e-09,
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7.363281e-09, 8.53147e-09, 1.488591e-08,
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2.33585e-08, 3.522012e-08, 5.301255e-08,
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8.26666e-08, 1.419747e-07, 3.19899e-07
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};
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double err_ref[] = {
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0.1141397, 0.09943516, 0.09674474,
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0.09980447, 0.1073116, 0.1220445,
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0.1526814, 1, 1,
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1, 1, 1,
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1, 1, 1
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};
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for (i=1; i<=m; i++) VERIFY_IS_APPROX(fvec[i-1], fvec_ref[i-1]);
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for (i=1; i<=m; i++) VERIFY_IS_APPROX(fvecp[i-1], fvecp_ref[i-1]);
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for (i=1; i<=m; i++) VERIFY_IS_APPROX(err[i-1], err_ref[i-1]);
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return;
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}
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int fcn(int /*m*/, int /*n*/, const double *x, double *fvec,
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double *fjac, int ldfjac, int iflag)
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{
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/* subroutine fcn for chkder example. */
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int i;
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double tmp1, tmp2, tmp3, tmp4;
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double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1,
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3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39};
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if (iflag == 0)
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{
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/* insert print statements here when nprint is positive. */
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return 0;
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}
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if (iflag != 2)
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for (i=1; i<=15; i++)
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{
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tmp1 = i;
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tmp2 = 16 - i;
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tmp3 = tmp1;
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if (i > 8) tmp3 = tmp2;
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fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3));
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}
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else
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{
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for (i = 1; i <= 15; i++)
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{
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tmp1 = i;
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tmp2 = 16 - i;
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/* error introduced into next statement for illustration. */
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/* corrected statement should read tmp3 = tmp1 . */
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tmp3 = tmp2;
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if (i > 8) tmp3 = tmp2;
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tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4=tmp4*tmp4;
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fjac[i-1+ ldfjac*(1-1)] = -1.;
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fjac[i-1+ ldfjac*(2-1)] = tmp1*tmp2/tmp4;
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fjac[i-1+ ldfjac*(3-1)] = tmp1*tmp3/tmp4;
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}
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}
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return 0;
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}
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void test_NonLinear()
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{
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CALL_SUBTEST(testChkder());
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}
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