// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2009 Thomas Capricelli #include #include "main.h" #include int fcn_chkder(int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac, int ldfjac, int iflag) { /* subroutine fcn for chkder example. */ int i; double tmp1, tmp2, tmp3, tmp4; double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } if (iflag != 2) for (i=1; i<=15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } else { for (i = 1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; /* error introduced into next statement for illustration. */ /* corrected statement should read tmp3 = tmp1 . */ tmp3 = tmp2; if (i > 8) tmp3 = tmp2; tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4=tmp4*tmp4; fjac[i-1+ ldfjac*(1-1)] = -1.; fjac[i-1+ ldfjac*(2-1)] = tmp1*tmp2/tmp4; fjac[i-1+ ldfjac*(3-1)] = tmp1*tmp3/tmp4; } } return 0; } void testChkder() { int i, m, n, ldfjac; double x[3], fvec[15], fjac[15*3], xp[3], fvecp[15], err[15]; m = 15; n = 3; /* the following values should be suitable for */ /* checking the jacobian matrix. */ x[1-1] = 9.2e-1; x[2-1] = 1.3e-1; x[3-1] = 5.4e-1; ldfjac = 15; chkder(m, n, x, fvec, fjac, ldfjac, xp, fvecp, 1, err); fcn_chkder(m, n, x, fvec, fjac, ldfjac, 1); fcn_chkder(m, n, x, fvec, fjac, ldfjac, 2); fcn_chkder(m, n, xp, fvecp, fjac, ldfjac, 1); chkder(m, n, x, fvec, fjac, ldfjac, xp, fvecp, 2, err); for (i=1; i<=m; i++) { fvecp[i-1] = fvecp[i-1] - fvec[i-1]; } double fvec_ref[] = { -1.181606, -1.429655, -1.606344, -1.745269, -1.840654, -1.921586, -1.984141, -2.022537, -2.468977, -2.827562, -3.473582, -4.437612, -6.047662, -9.267761, -18.91806 }; double fvecp_ref[] = { -7.724666e-09, -3.432406e-09, -2.034843e-10, 2.313685e-09, 4.331078e-09, 5.984096e-09, 7.363281e-09, 8.53147e-09, 1.488591e-08, 2.33585e-08, 3.522012e-08, 5.301255e-08, 8.26666e-08, 1.419747e-07, 3.19899e-07 }; double err_ref[] = { 0.1141397, 0.09943516, 0.09674474, 0.09980447, 0.1073116, 0.1220445, 0.1526814, 1, 1, 1, 1, 1, 1, 1, 1 }; for (i=1; i<=m; i++) VERIFY_IS_APPROX(fvec[i-1], fvec_ref[i-1]); for (i=1; i<=m; i++) VERIFY_IS_APPROX(fvecp[i-1], fvecp_ref[i-1]); for (i=1; i<=m; i++) VERIFY_IS_APPROX(err[i-1], err_ref[i-1]); } struct lmder1_functor { static int f(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac, int ldfjac, int iflag) { /* subroutine fcn for lmder1 example. */ int i; double tmp1, tmp2, tmp3, tmp4; double y[15] = {1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag != 2) { for (i = 1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } } else { for ( i = 1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4 = tmp4*tmp4; fjac[i-1 + ldfjac*(1-1)] = -1.; fjac[i-1 + ldfjac*(2-1)] = tmp1*tmp2/tmp4; fjac[i-1 + ldfjac*(3-1)] = tmp1*tmp3/tmp4; } } return 0; } }; void testLmder1() { int m=15, n=3, info; Eigen::VectorXd x(n), fvec(m); VectorXi ipvt; /* the following starting values provide a rough fit. */ x.setConstant(n, 1.); // do the computation info = ei_lmder1(x, fvec, ipvt); // check return value VERIFY( 1 == info); // check norm VERIFY_IS_APPROX(fvec.norm(), 0.09063596); // check x VectorXd x_ref(n); x_ref << 0.08241058, 1.133037, 2.343695; VERIFY_IS_APPROX(x, x_ref); } struct lmder_functor { static int f(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjac, int ldfjac, int iflag) { /* subroutine fcn for lmder example. */ int i; double tmp1, tmp2, tmp3, tmp4; double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } if (iflag != 2) { for (i=1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } } else { for (i=1; i<=15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4 = tmp4*tmp4; fjac[i-1 + ldfjac*(1-1)] = -1.; fjac[i-1 + ldfjac*(2-1)] = tmp1*tmp2/tmp4; fjac[i-1 + ldfjac*(3-1)] = tmp1*tmp3/tmp4; }; } return 0; } }; void testLmder() { const int m=15, n=3; int info, nfev, njev; double fnorm, covfac, covar_ftol; Eigen::VectorXd x(n), fvec(m), diag(n), wa1; Eigen::MatrixXd fjac; VectorXi ipvt; /* the following starting values provide a rough fit. */ x.setConstant(n, 1.); // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return values VERIFY( 1 == info); VERIFY(nfev==6); VERIFY(njev==5); // check norm fnorm = fvec.norm(); VERIFY_IS_APPROX(fnorm, 0.09063596); // check x VectorXd x_ref(n); x_ref << 0.08241058, 1.133037, 2.343695; VERIFY_IS_APPROX(x, x_ref); // check covariance covar_ftol = dpmpar(1); covfac = fnorm*fnorm/(m-n); covar(n, fjac.data(), m, ipvt.data(), covar_ftol, wa1.data()); Eigen::MatrixXd cov_ref(n,n); cov_ref << 0.0001531202, 0.002869941, -0.002656662, 0.002869941, 0.09480935, -0.09098995, -0.002656662, -0.09098995, 0.08778727; // std::cout << fjac*covfac << std::endl; Eigen::MatrixXd cov; cov = covfac*fjac.corner(TopLeft); VERIFY_IS_APPROX( cov, cov_ref); // TODO: why isn't this allowed ? : // VERIFY_IS_APPROX( covfac*fjac.corner(TopLeft) , cov_ref); } struct hybrj1_functor { static int f(void * /*p*/, int n, const double *x, double *fvec, double *fjac, int ldfjac, int iflag) { /* subroutine fcn for hybrj1 example. */ int j, k; double one=1, temp, temp1, temp2, three=3, two=2, zero=0, four=4; if (iflag != 2) { for (k = 1; k <= n; k++) { temp = (three - two*x[k-1])*x[k-1]; temp1 = zero; if (k != 1) temp1 = x[k-1-1]; temp2 = zero; if (k != n) temp2 = x[k+1-1]; fvec[k-1] = temp - temp1 - two*temp2 + one; } } else { for (k = 1; k <= n; k++) { for (j = 1; j <= n; j++) { fjac[k-1 + ldfjac*(j-1)] = zero; } fjac[k-1 + ldfjac*(k-1)] = three - four*x[k-1]; if (k != 1) fjac[k-1 + ldfjac*(k-1-1)] = -one; if (k != n) fjac[k-1 + ldfjac*(k+1-1)] = -two; } } return 0; } }; void testHybrj1() { const int n=9; int info; Eigen::VectorXd x(n), fvec, diag(n); Eigen::MatrixXd fjac; /* the following starting values provide a rough fit. */ x.setConstant(n, -1.); // do the computation info = ei_hybrj1(x,fvec, fjac); // check return value VERIFY( 1 == info); // check norm VERIFY_IS_APPROX(fvec.norm(), 1.192636e-08); // check x VectorXd x_ref(n); x_ref << -0.5706545, -0.6816283, -0.7017325, -0.7042129, -0.701369, -0.6918656, -0.665792, -0.5960342, -0.4164121; VERIFY_IS_APPROX(x, x_ref); } struct hybrj_functor { static int f(void * /*p*/, int n, const double *x, double *fvec, double *fjac, int ldfjac, int iflag) { /* subroutine fcn for hybrj example. */ int j, k; double one=1, temp, temp1, temp2, three=3, two=2, zero=0, four=4; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } if (iflag != 2) { for (k=1; k <= n; k++) { temp = (three - two*x[k-1])*x[k-1]; temp1 = zero; if (k != 1) temp1 = x[k-1-1]; temp2 = zero; if (k != n) temp2 = x[k+1-1]; fvec[k-1] = temp - temp1 - two*temp2 + one; } } else { for (k = 1; k <= n; k++) { for (j=1; j <= n; j++) { fjac[k-1 + ldfjac*(j-1)] = zero; } fjac[k-1 + ldfjac*(k-1)] = three - four*x[k-1]; if (k != 1) fjac[k-1 + ldfjac*(k-1-1)] = -one; if (k != n) fjac[k-1 + ldfjac*(k+1-1)] = -two; } } return 0; } }; void testHybrj() { const int n=9; int info, nfev, njev, mode; Eigen::VectorXd x(n), fvec, diag(n), R, qtf; Eigen::MatrixXd fjac; /* the following starting values provide a rough fit. */ x.setConstant(n, -1.); mode = 2; diag.setConstant(n, 1.); // do the computation info = ei_hybrj(x,fvec, nfev, njev, fjac, R, qtf, diag, mode); // check return value VERIFY( 1 == info); VERIFY(nfev==11); VERIFY(njev==1); // check norm VERIFY_IS_APPROX(fvec.norm(), 1.192636e-08); // check x VectorXd x_ref(n); x_ref << -0.5706545, -0.6816283, -0.7017325, -0.7042129, -0.701369, -0.6918656, -0.665792, -0.5960342, -0.4164121; VERIFY_IS_APPROX(x, x_ref); } struct hybrd1_functor { static int f(void * /*p*/, int n, const double *x, double *fvec, int /*iflag*/) { /* subroutine fcn for hybrd1 example. */ int k; double one=1, temp, temp1, temp2, three=3, two=2, zero=0; for (k=1; k <= n; k++) { temp = (three - two*x[k-1])*x[k-1]; temp1 = zero; if (k != 1) temp1 = x[k-1-1]; temp2 = zero; if (k != n) temp2 = x[k+1-1]; fvec[k-1] = temp - temp1 - two*temp2 + one; } return 0; } }; void testHybrd1() { int n=9, info; Eigen::VectorXd x(n), fvec(n); /* the following starting values provide a rough solution. */ x.setConstant(n, -1.); // do the computation info = ei_hybrd1(x, fvec); // check return value VERIFY( 1 == info); // check norm VERIFY_IS_APPROX(fvec.norm(), 1.192636e-08); // check x VectorXd x_ref(n); x_ref << -0.5706545, -0.6816283, -0.7017325, -0.7042129, -0.701369, -0.6918656, -0.665792, -0.5960342, -0.4164121; VERIFY_IS_APPROX(x, x_ref); } struct hybrd_functor { static int f(void * /*p*/, int n, const double *x, double *fvec, int iflag) { /* subroutine fcn for hybrd example. */ int k; double one=1, temp, temp1, temp2, three=3, two=2, zero=0; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } for (k=1; k<=n; k++) { temp = (three - two*x[k-1])*x[k-1]; temp1 = zero; if (k != 1) temp1 = x[k-1-1]; temp2 = zero; if (k != n) temp2 = x[k+1-1]; fvec[k-1] = temp - temp1 - two*temp2 + one; } return 0; } }; void testHybrd() { const int n=9; int info, nfev, ml, mu, mode; Eigen::VectorXd x(n), fvec, diag(n), R, qtf; Eigen::MatrixXd fjac; /* the following starting values provide a rough fit. */ x.setConstant(n, -1.); ml = 1; mu = 1; mode = 2; diag.setConstant(n, 1.); // do the computation info = ei_hybrd(x,fvec, nfev, fjac, R, qtf, diag, mode, ml, mu); // check return value VERIFY( 1 == info); VERIFY(nfev==14); // check norm VERIFY_IS_APPROX(fvec.norm(), 1.192636e-08); // check x VectorXd x_ref(n); x_ref << -0.5706545, -0.6816283, -0.7017325, -0.7042129, -0.701369, -0.6918656, -0.665792, -0.5960342, -0.4164121; VERIFY_IS_APPROX(x, x_ref); } int fcn_lmstr1(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjrow, int iflag) { /* subroutine fcn for lmstr1 example. */ int i; double tmp1, tmp2, tmp3, tmp4; double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag < 2) { for (i=1; i<=15; i++) { tmp1=i; tmp2 = 16-i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } } else { i = iflag - 1; tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4=tmp4*tmp4; fjrow[1-1] = -1; fjrow[2-1] = tmp1*tmp2/tmp4; fjrow[3-1] = tmp1*tmp3/tmp4; } return 0; } void testLmstr1() { int m, n, ldfjac, info, lwa, ipvt[3]; double tol, fnorm; double x[30], fvec[15], fjac[9], wa[30]; m = 15; n = 3; /* the following starting values provide a rough fit. */ x[0] = 1.; x[1] = 1.; x[2] = 1.; ldfjac = 3; lwa = 30; /* set tol to the square root of the machine precision. unless high precision solutions are required, this is the recommended setting. */ tol = sqrt(dpmpar(1)); info = lmstr1(fcn_lmstr1, 0, m, n, x, fvec, fjac, ldfjac, tol, ipvt, wa, lwa); fnorm = enorm(m, fvec); VERIFY_IS_APPROX(fnorm, 0.09063596); VERIFY(info==1); double x_ref[] = {0.08241058, 1.133037, 2.343695 }; for (m=1; m<=3; m++) VERIFY_IS_APPROX(x[m-1], x_ref[m-1]); } int fcn_lmstr(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, double *fjrow, int iflag) { /* subroutine fcn for lmstr example. */ int i; double tmp1, tmp2, tmp3, tmp4; double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } if (iflag < 2) { for (i = 1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } } else { i = iflag - 1; tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; tmp4 = (x[2-1]*tmp2 + x[3-1]*tmp3); tmp4 = tmp4*tmp4; fjrow[1-1] = -1.; fjrow[2-1] = tmp1*tmp2/tmp4; fjrow[3-1] = tmp1*tmp3/tmp4; } return 0; } void testLmstr() { int j, m, n, ldfjac, maxfev, mode, nprint, info, nfev, njev; int ipvt[3]; double ftol, xtol, gtol, factor, fnorm; double x[3], fvec[15], fjac[3*3], diag[3], qtf[3], wa1[3], wa2[3], wa3[3], wa4[15]; m = 15; n = 3; /* the following starting values provide a rough fit. */ x[1-1] = 1.; x[2-1] = 1.; x[3-1] = 1.; ldfjac = 3; /* set ftol and xtol to the square root of the machine */ /* and gtol to zero. unless high solutions are */ /* required, these are the recommended settings. */ ftol = sqrt(dpmpar(1)); xtol = sqrt(dpmpar(1)); gtol = 0.; maxfev = 400; mode = 1; factor = 1.e2; nprint = 0; info = lmstr(fcn_lmstr, 0, m, n, x, fvec, fjac, ldfjac, ftol, xtol, gtol, maxfev, diag, mode, factor, nprint, &nfev, &njev, ipvt, qtf, wa1, wa2, wa3, wa4); fnorm = enorm(m, fvec); VERIFY_IS_APPROX(fnorm, 0.09063596); VERIFY(nfev==6); VERIFY(njev==5); VERIFY(info==1); double x_ref[] = {0.08241058, 1.133037, 2.343695 }; for (j=1; j<=n; j++) VERIFY_IS_APPROX(x[j-1], x_ref[j-1]); } struct lmdif1_functor { static int f(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, int /*iflag*/) { /* function fcn for lmdif1 example */ int i; double tmp1,tmp2,tmp3; double y[15]={1.4e-1,1.8e-1,2.2e-1,2.5e-1,2.9e-1,3.2e-1,3.5e-1,3.9e-1, 3.7e-1,5.8e-1,7.3e-1,9.6e-1,1.34e0,2.1e0,4.39e0}; for (i=0; i<15; i++) { tmp1 = i+1; tmp2 = 15 - i; tmp3 = tmp1; if (i >= 8) tmp3 = tmp2; fvec[i] = y[i] - (x[0] + tmp1/(x[1]*tmp2 + x[2]*tmp3)); } return 0; } }; void testLmdif1() { int m=15, n=3, info; Eigen::VectorXd x(n), fvec(m); VectorXi iwa; /* the following starting values provide a rough fit. */ x.setConstant(n, 1.); // do the computation info = ei_lmdif1(x, fvec, iwa); // check return value VERIFY( 1 == info); // check norm VERIFY_IS_APPROX(fvec.norm(), 0.09063596); // check x VectorXd x_ref(n); x_ref << 0.0824106, 1.1330366, 2.3436947; VERIFY_IS_APPROX(x, x_ref); } struct lmdif_functor { static int f(void * /*p*/, int /*m*/, int /*n*/, const double *x, double *fvec, int iflag) { /* subroutine fcn for lmdif example. */ int i; double tmp1, tmp2, tmp3; double y[15]={1.4e-1, 1.8e-1, 2.2e-1, 2.5e-1, 2.9e-1, 3.2e-1, 3.5e-1, 3.9e-1, 3.7e-1, 5.8e-1, 7.3e-1, 9.6e-1, 1.34, 2.1, 4.39}; if (iflag == 0) { /* insert print statements here when nprint is positive. */ return 0; } for (i = 1; i <= 15; i++) { tmp1 = i; tmp2 = 16 - i; tmp3 = tmp1; if (i > 8) tmp3 = tmp2; fvec[i-1] = y[i-1] - (x[1-1] + tmp1/(x[2-1]*tmp2 + x[3-1]*tmp3)); } return 0; } }; void testLmdif() { const int m=15, n=3; int info, nfev; double fnorm, covfac, covar_ftol; Eigen::VectorXd x(n), fvec(m), diag(n), wa1; Eigen::MatrixXd fjac; VectorXi ipvt; /* the following starting values provide a rough fit. */ x.setConstant(n, 1.); // do the computation info = ei_lmdif(x, fvec, nfev, fjac, ipvt, wa1, diag); // check return values VERIFY( 1 == info); VERIFY(nfev==21); // check norm fnorm = fvec.norm(); VERIFY_IS_APPROX(fnorm, 0.09063596); // check x VectorXd x_ref(n); x_ref << 0.08241058, 1.133037, 2.343695; VERIFY_IS_APPROX(x, x_ref); // check covariance covar_ftol = dpmpar(1); covfac = fnorm*fnorm/(m-n); covar(n, fjac.data(), m, ipvt.data(), covar_ftol, wa1.data()); Eigen::MatrixXd cov_ref(n,n); cov_ref << 0.0001531202, 0.002869942, -0.002656662, 0.002869942, 0.09480937, -0.09098997, -0.002656662, -0.09098997, 0.08778729; // std::cout << fjac*covfac << std::endl; Eigen::MatrixXd cov; cov = covfac*fjac.corner(TopLeft); VERIFY_IS_APPROX( cov, cov_ref); // TODO: why isn't this allowed ? : // VERIFY_IS_APPROX( covfac*fjac.corner(TopLeft) , cov_ref); } struct misra1a_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[14] = { 77.6E0, 114.9E0, 141.1E0, 190.8E0, 239.9E0, 289.0E0, 332.8E0, 378.4E0, 434.8E0, 477.3E0, 536.8E0, 593.1E0, 689.1E0, 760.0E0}; static const double y[14] = { 10.07E0, 14.73E0, 17.94E0, 23.93E0, 29.61E0, 35.18E0, 40.02E0, 44.82E0, 50.76E0, 55.05E0, 61.01E0, 66.40E0, 75.47E0, 81.78E0}; int i; assert(m==14); assert(n==2); assert(ldfjac==14); if (iflag != 2) {// compute fvec at b for(i=0; i<14; i++) { fvec[i] = b[0]*(1.-exp(-b[1]*x[i])) - y[i] ; } } else { // compute fjac at b for(i=0; i<14; i++) { fjac[i+ldfjac*0] = (1.-exp(-b[1]*x[i])); fjac[i+ldfjac*1] = (b[0]*x[i]*exp(-b[1]*x[i])); } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/misra1a.shtml void testNistMisra1a(void) { const int m=14, n=2; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 500., 0.0001; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 19 == nfev); VERIFY( 15 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.2455138894E-01); // check x VERIFY_IS_APPROX(x[0], 2.3894212918E+02); VERIFY_IS_APPROX(x[1], 5.5015643181E-04); /* * Second try */ x<< 250., 0.0005; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 5 == nfev); VERIFY( 4 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.2455138894E-01); // check x VERIFY_IS_APPROX(x[0], 2.3894212918E+02); VERIFY_IS_APPROX(x[1], 5.5015643181E-04); } struct hahn1_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double _x[236] = { 24.41E0 , 34.82E0 , 44.09E0 , 45.07E0 , 54.98E0 , 65.51E0 , 70.53E0 , 75.70E0 , 89.57E0 , 91.14E0 , 96.40E0 , 97.19E0 , 114.26E0 , 120.25E0 , 127.08E0 , 133.55E0 , 133.61E0 , 158.67E0 , 172.74E0 , 171.31E0 , 202.14E0 , 220.55E0 , 221.05E0 , 221.39E0 , 250.99E0 , 268.99E0 , 271.80E0 , 271.97E0 , 321.31E0 , 321.69E0 , 330.14E0 , 333.03E0 , 333.47E0 , 340.77E0 , 345.65E0 , 373.11E0 , 373.79E0 , 411.82E0 , 419.51E0 , 421.59E0 , 422.02E0 , 422.47E0 , 422.61E0 , 441.75E0 , 447.41E0 , 448.7E0 , 472.89E0 , 476.69E0 , 522.47E0 , 522.62E0 , 524.43E0 , 546.75E0 , 549.53E0 , 575.29E0 , 576.00E0 , 625.55E0 , 20.15E0 , 28.78E0 , 29.57E0 , 37.41E0 , 39.12E0 , 50.24E0 , 61.38E0 , 66.25E0 , 73.42E0 , 95.52E0 , 107.32E0 , 122.04E0 , 134.03E0 , 163.19E0 , 163.48E0 , 175.70E0 , 179.86E0 , 211.27E0 , 217.78E0 , 219.14E0 , 262.52E0 , 268.01E0 , 268.62E0 , 336.25E0 , 337.23E0 , 339.33E0 , 427.38E0 , 428.58E0 , 432.68E0 , 528.99E0 , 531.08E0 , 628.34E0 , 253.24E0 , 273.13E0 , 273.66E0 , 282.10E0 , 346.62E0 , 347.19E0 , 348.78E0 , 351.18E0 , 450.10E0 , 450.35E0 , 451.92E0 , 455.56E0 , 552.22E0 , 553.56E0 , 555.74E0 , 652.59E0 , 656.20E0 , 14.13E0 , 20.41E0 , 31.30E0 , 33.84E0 , 39.70E0 , 48.83E0 , 54.50E0 , 60.41E0 , 72.77E0 , 75.25E0 , 86.84E0 , 94.88E0 , 96.40E0 , 117.37E0 , 139.08E0 , 147.73E0 , 158.63E0 , 161.84E0 , 192.11E0 , 206.76E0 , 209.07E0 , 213.32E0 , 226.44E0 , 237.12E0 , 330.90E0 , 358.72E0 , 370.77E0 , 372.72E0 , 396.24E0 , 416.59E0 , 484.02E0 , 495.47E0 , 514.78E0 , 515.65E0 , 519.47E0 , 544.47E0 , 560.11E0 , 620.77E0 , 18.97E0 , 28.93E0 , 33.91E0 , 40.03E0 , 44.66E0 , 49.87E0 , 55.16E0 , 60.90E0 , 72.08E0 , 85.15E0 , 97.06E0 , 119.63E0 , 133.27E0 , 143.84E0 , 161.91E0 , 180.67E0 , 198.44E0 , 226.86E0 , 229.65E0 , 258.27E0 , 273.77E0 , 339.15E0 , 350.13E0 , 362.75E0 , 371.03E0 , 393.32E0 , 448.53E0 , 473.78E0 , 511.12E0 , 524.70E0 , 548.75E0 , 551.64E0 , 574.02E0 , 623.86E0 , 21.46E0 , 24.33E0 , 33.43E0 , 39.22E0 , 44.18E0 , 55.02E0 , 94.33E0 , 96.44E0 , 118.82E0 , 128.48E0 , 141.94E0 , 156.92E0 , 171.65E0 , 190.00E0 , 223.26E0 , 223.88E0 , 231.50E0 , 265.05E0 , 269.44E0 , 271.78E0 , 273.46E0 , 334.61E0 , 339.79E0 , 349.52E0 , 358.18E0 , 377.98E0 , 394.77E0 , 429.66E0 , 468.22E0 , 487.27E0 , 519.54E0 , 523.03E0 , 612.99E0 , 638.59E0 , 641.36E0 , 622.05E0 , 631.50E0 , 663.97E0 , 646.9E0 , 748.29E0 , 749.21E0 , 750.14E0 , 647.04E0 , 646.89E0 , 746.9E0 , 748.43E0 , 747.35E0 , 749.27E0 , 647.61E0 , 747.78E0 , 750.51E0 , 851.37E0 , 845.97E0 , 847.54E0 , 849.93E0 , 851.61E0 , 849.75E0 , 850.98E0 , 848.23E0}; static const double _y[236] = { .591E0 , 1.547E0 , 2.902E0 , 2.894E0 , 4.703E0 , 6.307E0 , 7.03E0 , 7.898E0 , 9.470E0 , 9.484E0 , 10.072E0 , 10.163E0 , 11.615E0 , 12.005E0 , 12.478E0 , 12.982E0 , 12.970E0 , 13.926E0 , 14.452E0 , 14.404E0 , 15.190E0 , 15.550E0 , 15.528E0 , 15.499E0 , 16.131E0 , 16.438E0 , 16.387E0 , 16.549E0 , 16.872E0 , 16.830E0 , 16.926E0 , 16.907E0 , 16.966E0 , 17.060E0 , 17.122E0 , 17.311E0 , 17.355E0 , 17.668E0 , 17.767E0 , 17.803E0 , 17.765E0 , 17.768E0 , 17.736E0 , 17.858E0 , 17.877E0 , 17.912E0 , 18.046E0 , 18.085E0 , 18.291E0 , 18.357E0 , 18.426E0 , 18.584E0 , 18.610E0 , 18.870E0 , 18.795E0 , 19.111E0 , .367E0 , .796E0 , 0.892E0 , 1.903E0 , 2.150E0 , 3.697E0 , 5.870E0 , 6.421E0 , 7.422E0 , 9.944E0 , 11.023E0 , 11.87E0 , 12.786E0 , 14.067E0 , 13.974E0 , 14.462E0 , 14.464E0 , 15.381E0 , 15.483E0 , 15.59E0 , 16.075E0 , 16.347E0 , 16.181E0 , 16.915E0 , 17.003E0 , 16.978E0 , 17.756E0 , 17.808E0 , 17.868E0 , 18.481E0 , 18.486E0 , 19.090E0 , 16.062E0 , 16.337E0 , 16.345E0 , 16.388E0 , 17.159E0 , 17.116E0 , 17.164E0 , 17.123E0 , 17.979E0 , 17.974E0 , 18.007E0 , 17.993E0 , 18.523E0 , 18.669E0 , 18.617E0 , 19.371E0 , 19.330E0 , 0.080E0 , 0.248E0 , 1.089E0 , 1.418E0 , 2.278E0 , 3.624E0 , 4.574E0 , 5.556E0 , 7.267E0 , 7.695E0 , 9.136E0 , 9.959E0 , 9.957E0 , 11.600E0 , 13.138E0 , 13.564E0 , 13.871E0 , 13.994E0 , 14.947E0 , 15.473E0 , 15.379E0 , 15.455E0 , 15.908E0 , 16.114E0 , 17.071E0 , 17.135E0 , 17.282E0 , 17.368E0 , 17.483E0 , 17.764E0 , 18.185E0 , 18.271E0 , 18.236E0 , 18.237E0 , 18.523E0 , 18.627E0 , 18.665E0 , 19.086E0 , 0.214E0 , 0.943E0 , 1.429E0 , 2.241E0 , 2.951E0 , 3.782E0 , 4.757E0 , 5.602E0 , 7.169E0 , 8.920E0 , 10.055E0 , 12.035E0 , 12.861E0 , 13.436E0 , 14.167E0 , 14.755E0 , 15.168E0 , 15.651E0 , 15.746E0 , 16.216E0 , 16.445E0 , 16.965E0 , 17.121E0 , 17.206E0 , 17.250E0 , 17.339E0 , 17.793E0 , 18.123E0 , 18.49E0 , 18.566E0 , 18.645E0 , 18.706E0 , 18.924E0 , 19.1E0 , 0.375E0 , 0.471E0 , 1.504E0 , 2.204E0 , 2.813E0 , 4.765E0 , 9.835E0 , 10.040E0 , 11.946E0 , 12.596E0 , 13.303E0 , 13.922E0 , 14.440E0 , 14.951E0 , 15.627E0 , 15.639E0 , 15.814E0 , 16.315E0 , 16.334E0 , 16.430E0 , 16.423E0 , 17.024E0 , 17.009E0 , 17.165E0 , 17.134E0 , 17.349E0 , 17.576E0 , 17.848E0 , 18.090E0 , 18.276E0 , 18.404E0 , 18.519E0 , 19.133E0 , 19.074E0 , 19.239E0 , 19.280E0 , 19.101E0 , 19.398E0 , 19.252E0 , 19.89E0 , 20.007E0 , 19.929E0 , 19.268E0 , 19.324E0 , 20.049E0 , 20.107E0 , 20.062E0 , 20.065E0 , 19.286E0 , 19.972E0 , 20.088E0 , 20.743E0 , 20.83E0 , 20.935E0 , 21.035E0 , 20.93E0 , 21.074E0 , 21.085E0 , 20.935E0 }; int i; // static int called=0; printf("call hahn1_functor with iflag=%d, called=%d\n", iflag, called); if (iflag==1) called++; assert(m==236); assert(n==7); assert(ldfjac==236); if (iflag != 2) {// compute fvec at x for(i=0; i<236; i++) { double x=_x[i], xx=x*x, xxx=xx*x; fvec[i] = (b[0]+b[1]*x+b[2]*xx+b[3]*xxx) / (1.+b[4]*x+b[5]*xx+b[6]*xxx) - _y[i]; } } else { // compute fjac at x for(i=0; i<236; i++) { double x=_x[i], xx=x*x, xxx=xx*x; double fact = 1./(1.+b[4]*x+b[5]*xx+b[6]*xxx); fjac[i+ldfjac*0] = 1.*fact; fjac[i+ldfjac*1] = x*fact; fjac[i+ldfjac*2] = xx*fact; fjac[i+ldfjac*3] = xxx*fact; fact = - (b[0]+b[1]*x+b[2]*xx+b[3]*xxx) * fact * fact; fjac[i+ldfjac*4] = x*fact; fjac[i+ldfjac*5] = xx*fact; fjac[i+ldfjac*6] = xxx*fact; } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/hahn1.shtml void testNistHahn1(void) { const int m=236, n=7; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 10., -1., .05, -.00001, -.05, .001, -.000001; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 11== nfev); VERIFY( 10== njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.5324382854E+00); // check x VERIFY_IS_APPROX(x[0], 1.0776351733E+00 ); VERIFY_IS_APPROX(x[1],-1.2269296921E-01 ); VERIFY_IS_APPROX(x[2], 4.0863750610E-03 ); VERIFY_IS_APPROX(x[3],-1.426264e-06); // shoulde be : -1.4262662514E-06 VERIFY_IS_APPROX(x[4],-5.7609940901E-03 ); VERIFY_IS_APPROX(x[5], 2.4053735503E-04 ); VERIFY_IS_APPROX(x[6],-1.2314450199E-07 ); /* * Second try */ x<< .1, -.1, .005, -.000001, -.005, .0001, -.0000001; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 11 == nfev); VERIFY( 10 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.5324382854E+00); // check x VERIFY_IS_APPROX(x[0], 1.077640); // should be : 1.0776351733E+00 VERIFY_IS_APPROX(x[1], -0.1226933); // should be : -1.2269296921E-01 VERIFY_IS_APPROX(x[2], 0.004086383); // should be : 4.0863750610E-03 VERIFY_IS_APPROX(x[3], -1.426277e-06); // shoulde be : -1.4262662514E-06 VERIFY_IS_APPROX(x[4],-5.7609940901E-03 ); VERIFY_IS_APPROX(x[5], 0.00024053772); // should be : 2.4053735503E-04 VERIFY_IS_APPROX(x[6], -1.231450e-07); // should be : -1.2314450199E-07 } struct misra1d_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[14] = { 77.6E0, 114.9E0, 141.1E0, 190.8E0, 239.9E0, 289.0E0, 332.8E0, 378.4E0, 434.8E0, 477.3E0, 536.8E0, 593.1E0, 689.1E0, 760.0E0}; static const double y[14] = { 10.07E0, 14.73E0, 17.94E0, 23.93E0, 29.61E0, 35.18E0, 40.02E0, 44.82E0, 50.76E0, 55.05E0, 61.01E0, 66.40E0, 75.47E0, 81.78E0}; int i; assert(m==14); assert(n==2); assert(ldfjac==14); if (iflag != 2) {// compute fvec at b for(i=0; i<14; i++) { fvec[i] = b[0]*b[1]*x[i]/(1.+b[1]*x[i]) - y[i]; } } else { // compute fjac at b for(i=0; i<14; i++) { double den = 1.+b[1]*x[i]; fjac[i+ldfjac*0] = b[1]*x[i] / den; fjac[i+ldfjac*1] = b[0]*x[i]*(den-b[1]*x[i])/den/den; } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/misra1d.shtml void testNistMisra1d(void) { const int m=14, n=2; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 500., 0.0001; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 3 == info); VERIFY( 9 == nfev); VERIFY( 7 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 5.6419295283E-02); // check x VERIFY_IS_APPROX(x[0], 4.3736970754E+02); VERIFY_IS_APPROX(x[1], 3.0227324449E-04); /* * Second try */ x<< 450., 0.0003; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 4 == nfev); VERIFY( 3 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 5.6419295283E-02); // check x VERIFY_IS_APPROX(x[0], 4.3736970754E+02); VERIFY_IS_APPROX(x[1], 3.0227324449E-04); } struct lanczos1_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[24] = { 0.000000000000E+00, 5.000000000000E-02, 1.000000000000E-01, 1.500000000000E-01, 2.000000000000E-01, 2.500000000000E-01, 3.000000000000E-01, 3.500000000000E-01, 4.000000000000E-01, 4.500000000000E-01, 5.000000000000E-01, 5.500000000000E-01, 6.000000000000E-01, 6.500000000000E-01, 7.000000000000E-01, 7.500000000000E-01, 8.000000000000E-01, 8.500000000000E-01, 9.000000000000E-01, 9.500000000000E-01, 1.000000000000E+00, 1.050000000000E+00, 1.100000000000E+00, 1.150000000000E+00 }; static const double y[24] = { 2.513400000000E+00 ,2.044333373291E+00 ,1.668404436564E+00 ,1.366418021208E+00 ,1.123232487372E+00 ,9.268897180037E-01 ,7.679338563728E-01 ,6.388775523106E-01 ,5.337835317402E-01 ,4.479363617347E-01 ,3.775847884350E-01 ,3.197393199326E-01 ,2.720130773746E-01 ,2.324965529032E-01 ,1.996589546065E-01 ,1.722704126914E-01 ,1.493405660168E-01 ,1.300700206922E-01 ,1.138119324644E-01 ,1.000415587559E-01 ,8.833209084540E-02 ,7.833544019350E-02 ,6.976693743449E-02 ,6.239312536719E-02 }; int i; assert(m==24); assert(n==6); assert(ldfjac==24); if (iflag != 2) {// compute fvec at b for(i=0; i<24; i++) { fvec[i] = b[0]*exp(-b[1]*x[i]) + b[2]*exp(-b[3]*x[i]) + b[4]*exp(-b[5]*x[i]) - y[i]; } } else { // compute fjac at b for(i=0; i<24; i++) { fjac[i+ldfjac*0] = exp(-b[1]*x[i]); fjac[i+ldfjac*1] = -b[0]*x[i]*exp(-b[1]*x[i]); fjac[i+ldfjac*2] = exp(-b[3]*x[i]); fjac[i+ldfjac*3] = -b[2]*x[i]*exp(-b[3]*x[i]); fjac[i+ldfjac*4] = exp(-b[5]*x[i]); fjac[i+ldfjac*5] = -b[4]*x[i]*exp(-b[5]*x[i]); } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/lanczos1.shtml void testNistLanczos1(void) { const int m=24, n=6; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 1.2, 0.3, 5.6, 5.5, 6.5, 7.6; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 2 == info); VERIFY( 79 == nfev); VERIFY( 72 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.4292388868910E-25); // should be 1.4307867721E-25, but nist results are on 128-bit floats // check x VERIFY_IS_APPROX(x[0], 9.5100000027E-02 ); VERIFY_IS_APPROX(x[1], 1.0000000001E+00 ); VERIFY_IS_APPROX(x[2], 8.6070000013E-01 ); VERIFY_IS_APPROX(x[3], 3.0000000002E+00 ); VERIFY_IS_APPROX(x[4], 1.5575999998E+00 ); VERIFY_IS_APPROX(x[5], 5.0000000001E+00 ); /* * Second try */ x<< 0.5, 0.7, 3.6, 4.2, 4., 6.3; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 2 == info); VERIFY( 9 == nfev); VERIFY( 8 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.43049947737308E-25); // should be 1.4307867721E-25, but nist results are on 128-bit floats // check x VERIFY_IS_APPROX(x[0], 9.5100000027E-02 ); VERIFY_IS_APPROX(x[1], 1.0000000001E+00 ); VERIFY_IS_APPROX(x[2], 8.6070000013E-01 ); VERIFY_IS_APPROX(x[3], 3.0000000002E+00 ); VERIFY_IS_APPROX(x[4], 1.5575999998E+00 ); VERIFY_IS_APPROX(x[5], 5.0000000001E+00 ); } struct rat42_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[9] = { 9.000E0, 14.000E0, 21.000E0, 28.000E0, 42.000E0, 57.000E0, 63.000E0, 70.000E0, 79.000E0 }; static const double y[9] = { 8.930E0 ,10.800E0 ,18.590E0 ,22.330E0 ,39.350E0 ,56.110E0 ,61.730E0 ,64.620E0 ,67.080E0 }; int i; assert(m==9); assert(n==3); assert(ldfjac==9); if (iflag != 2) {// compute fvec at b for(i=0; i<9; i++) { fvec[i] = b[0] / (1.+exp(b[1]-b[2]*x[i])) - y[i]; } } else { // compute fjac at b for(i=0; i<9; i++) { double e = exp(b[1]-b[2]*x[i]); fjac[i+ldfjac*0] = 1./(1.+e); fjac[i+ldfjac*1] = -b[0]*e/(1.+e)/(1.+e); fjac[i+ldfjac*2] = +b[0]*e*x[i]/(1.+e)/(1.+e); } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/ratkowsky2.shtml void testNistRat42(void) { const int m=9, n=3; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 100., 1., 0.1; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 10 == nfev); VERIFY( 8 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 8.0565229338E+00); // check x VERIFY_IS_APPROX(x[0], 7.2462237576E+01); VERIFY_IS_APPROX(x[1], 2.6180768402E+00); VERIFY_IS_APPROX(x[2], 6.7359200066E-02); /* * Second try */ x<< 75., 2.5, 0.07; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 1 == info); VERIFY( 6 == nfev); VERIFY( 5 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 8.0565229338E+00); // check x VERIFY_IS_APPROX(x[0], 7.2462237576E+01); VERIFY_IS_APPROX(x[1], 2.6180768402E+00); VERIFY_IS_APPROX(x[2], 6.7359200066E-02); } struct MGH10_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[16] = { 5.000000E+01, 5.500000E+01, 6.000000E+01, 6.500000E+01, 7.000000E+01, 7.500000E+01, 8.000000E+01, 8.500000E+01, 9.000000E+01, 9.500000E+01, 1.000000E+02, 1.050000E+02, 1.100000E+02, 1.150000E+02, 1.200000E+02, 1.250000E+02 }; static const double y[16] = { 3.478000E+04, 2.861000E+04, 2.365000E+04, 1.963000E+04, 1.637000E+04, 1.372000E+04, 1.154000E+04, 9.744000E+03, 8.261000E+03, 7.030000E+03, 6.005000E+03, 5.147000E+03, 4.427000E+03, 3.820000E+03, 3.307000E+03, 2.872000E+03 }; int i; assert(m==16); assert(n==3); assert(ldfjac==16); if (iflag != 2) {// compute fvec at b for(i=0; i<16; i++) { fvec[i] = b[0] * exp(b[1]/(x[i]+b[2])) - y[i]; } } else { // compute fjac at b for(i=0; i<16; i++) { double factor = 1./(x[i]+b[2]); double e = exp(b[1]*factor); fjac[i+ldfjac*0] = e; fjac[i+ldfjac*1] = b[0]*factor*e; fjac[i+ldfjac*2] = -b[1]*b[0]*factor*factor*e; } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/mgh10.shtml void testNistMGH10(void) { const int m=16, n=3; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; /* * First try */ x<< 2., 400000., 25000.; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 3 == info); VERIFY( 285 == nfev); VERIFY( 250 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 8.7945855171E+01); // check x VERIFY_IS_APPROX(x[0], 5.6096364710E-03); VERIFY_IS_APPROX(x[1], 6.1813463463E+03); VERIFY_IS_APPROX(x[2], 3.4522363462E+02); /* * Second try */ x<< 0.02, 4000., 250.; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value VERIFY( 3 == info); VERIFY( 126 == nfev); VERIFY( 116 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 8.7945855171E+01); // check x VERIFY_IS_APPROX(x[0], 5.6096364710E-03); VERIFY_IS_APPROX(x[1], 6.1813463463E+03); VERIFY_IS_APPROX(x[2], 3.4522363462E+02); } struct BoxBOD_functor { static int f(void * /*p*/, int m, int n, const double *b, double *fvec, double *fjac, int ldfjac, int iflag) { static const double x[6] = { 1, 2, 3, 5, 7, 10 }; static const double y[6] = { 109, 149, 149, 191, 213, 224 }; int i; assert(m==6); assert(n==2); assert(ldfjac==6); if (iflag != 2) {// compute fvec at b for(i=0; i<6; i++) { fvec[i] = b[0]*(1.-exp(-b[1]*x[i])) - y[i]; } } else { // compute fjac at b for(i=0; i<6; i++) { fjac[i+ldfjac*0] = 1.-exp(-b[1]*x[i]); fjac[i+ldfjac*1] = x[i]*exp(-b[1]*x[i]); } } return 0; } }; // http://www.itl.nist.gov/div898/strd/nls/data/boxbod.shtml void testNistBoxBOD(void) { const int m=6, n=2; int info, nfev, njev; Eigen::VectorXd x(n), fvec(m), wa1, diag; Eigen::MatrixXd fjac; VectorXi ipvt; #if 0 /* * First try */ x<< 1., 1.; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag); // check return value printf("info=%d, f,j: %d, %d\n", info, nfev, njev); printf("norm2 = %.50g\n", fvec.squaredNorm()); std::cout << x << std::endl; VERIFY( 1 == info); VERIFY( 10 == nfev); VERIFY( 6 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1.1680088766E+03); // check x VERIFY_IS_APPROX(x[0], 2.1380940889E+02); VERIFY_IS_APPROX(x[1], 5.4723748542E-01); #endif /* * Second try */ x<< 100., 0.75; // do the computation info = ei_lmder(x, fvec, nfev, njev, fjac, ipvt, wa1, diag, 1, 100., 10000); // check return value VERIFY( 1 == info); VERIFY( 1859 == nfev); VERIFY( 1416 == njev); // check norm^2 VERIFY_IS_APPROX(fvec.squaredNorm(), 1168.012); // should be : 1.1680088766E+03 // check x VERIFY_IS_APPROX(x[0], 213.7613); // should be : 2.1380940889E+02 VERIFY_IS_APPROX(x[1], 0.5475659); // should be : 5.4723748542E-01 } void test_NonLinear() { // NIST tests, level of difficulty = "Lower" CALL_SUBTEST(testNistMisra1a()); // NIST tests, level of difficulty = "Average" CALL_SUBTEST(testNistHahn1()); CALL_SUBTEST(testNistMisra1d()); CALL_SUBTEST(testNistLanczos1()); // NIST tests, level of difficulty = "Higher" CALL_SUBTEST(testNistRat42()); CALL_SUBTEST(testNistMGH10()); CALL_SUBTEST(testNistBoxBOD()); CALL_SUBTEST(testChkder()); CALL_SUBTEST(testLmder1()); CALL_SUBTEST(testLmder()); CALL_SUBTEST(testHybrj1()); CALL_SUBTEST(testHybrj()); CALL_SUBTEST(testHybrd1()); CALL_SUBTEST(testHybrd()); CALL_SUBTEST(testLmstr1()); CALL_SUBTEST(testLmstr()); CALL_SUBTEST(testLmdif1()); CALL_SUBTEST(testLmdif()); }