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eigen/unsupported/Eigen/src/NonLinear/lmstr.h

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template<typename Scalar>
int lmstr_template(minpack_funcderstr_mn fcn, void *p, int m, int n, Scalar *x,
Scalar *fvec, Scalar *fjac, int ldfjac, Scalar ftol,
Scalar xtol, Scalar gtol, int maxfev, Scalar *
diag, int mode, Scalar factor, int nprint,
int &nfev, int &njev, int *ipvt, Scalar *qtf,
Scalar *wa1, Scalar *wa2, Scalar *wa3, Scalar *wa4)
{
/* Initialized data */
/* System generated locals */
int fjac_offset;
/* Local variables */
int i, j, l;
Scalar par, sum;
int sing;
int iter;
Scalar temp, temp1, temp2;
int iflag;
Scalar delta;
Scalar ratio;
Scalar fnorm, gnorm, pnorm, xnorm, fnorm1, actred, dirder, prered;
int info;
/* Parameter adjustments */
--wa4;
--fvec;
--wa3;
--wa2;
--wa1;
--qtf;
--ipvt;
--diag;
--x;
fjac_offset = 1 + ldfjac;
fjac -= fjac_offset;
/* Function Body */
info = 0;
iflag = 0;
nfev = 0;
njev = 0;
/* check the input parameters for errors. */
if (n <= 0 || m < n || ldfjac < n || ftol < 0. || xtol < 0. ||
gtol < 0. || maxfev <= 0 || factor <= 0.) {
goto L340;
}
if (mode != 2) {
goto L20;
}
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for (j = 1; j <= n; ++j) {
if (diag[j] <= 0.) {
goto L340;
}
/* L10: */
}
L20:
/* evaluate the function at the starting point */
/* and calculate its norm. */
iflag = (*fcn)(p, m, n, &x[1], &fvec[1], &wa3[1], 1);
nfev = 1;
if (iflag < 0) {
goto L340;
}
fnorm = ei_enorm<Scalar>(m, &fvec[1]);
/* initialize levenberg-marquardt parameter and iteration counter. */
par = 0.;
iter = 1;
/* beginning of the outer loop. */
L30:
/* if requested, call fcn to enable printing of iterates. */
if (nprint <= 0) {
goto L40;
}
iflag = 0;
if ((iter - 1) % nprint == 0) {
iflag = (*fcn)(p, m, n, &x[1], &fvec[1], &wa3[1], 0);
}
if (iflag < 0) {
goto L340;
}
L40:
/* compute the qr factorization of the jacobian matrix */
/* calculated one row at a time, while simultaneously */
/* forming (q transpose)*fvec and storing the first */
/* n components in qtf. */
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for (j = 1; j <= n; ++j) {
qtf[j] = 0.;
for (i = 1; i <= n; ++i) {
fjac[i + j * ldfjac] = 0.;
/* L50: */
}
/* L60: */
}
iflag = 2;
for (i = 1; i <= m; ++i) {
if ((*fcn)(p, m, n, &x[1], &fvec[1], &wa3[1], iflag) < 0) {
goto L340;
}
temp = fvec[i];
rwupdt(n, &fjac[fjac_offset], ldfjac, &wa3[1], &qtf[1], &temp, &wa1[
1], &wa2[1]);
++iflag;
/* L70: */
}
++njev;
/* if the jacobian is rank deficient, call qrfac to */
/* reorder its columns and update the components of qtf. */
sing = FALSE_;
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for (j = 1; j <= n; ++j) {
if (fjac[j + j * ldfjac] == 0.) {
sing = TRUE_;
}
ipvt[j] = j;
wa2[j] = ei_enorm<Scalar>(j, &fjac[j * ldfjac + 1]);
/* L80: */
}
if (! sing) {
goto L130;
}
qrfac(n, n, &fjac[fjac_offset], ldfjac, TRUE_, &ipvt[1], n, &wa1[1], &
wa2[1], &wa3[1]);
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for (j = 1; j <= n; ++j) {
if (fjac[j + j * ldfjac] == 0.) {
goto L110;
}
sum = 0.;
for (i = j; i <= n; ++i) {
sum += fjac[i + j * ldfjac] * qtf[i];
/* L90: */
}
temp = -sum / fjac[j + j * ldfjac];
for (i = j; i <= n; ++i) {
qtf[i] += fjac[i + j * ldfjac] * temp;
/* L100: */
}
L110:
fjac[j + j * ldfjac] = wa1[j];
/* L120: */
}
L130:
/* on the first iteration and if mode is 1, scale according */
/* to the norms of the columns of the initial jacobian. */
if (iter != 1) {
goto L170;
}
if (mode == 2) {
goto L150;
}
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for (j = 1; j <= n; ++j) {
diag[j] = wa2[j];
if (wa2[j] == 0.) {
diag[j] = 1.;
}
/* L140: */
}
L150:
/* on the first iteration, calculate the norm of the scaled x */
/* and initialize the step bound delta. */
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for (j = 1; j <= n; ++j) {
wa3[j] = diag[j] * x[j];
/* L160: */
}
xnorm = ei_enorm<Scalar>(n, &wa3[1]);
delta = factor * xnorm;
if (delta == 0.) {
delta = factor;
}
L170:
/* compute the norm of the scaled gradient. */
gnorm = 0.;
if (fnorm == 0.) {
goto L210;
}
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for (j = 1; j <= n; ++j) {
l = ipvt[j];
if (wa2[l] == 0.) {
goto L190;
}
sum = 0.;
for (i = 1; i <= j; ++i) {
sum += fjac[i + j * ldfjac] * (qtf[i] / fnorm);
/* L180: */
}
/* Computing MAX */
gnorm = max(gnorm, ei_abs(sum/wa2[l]));
L190:
/* L200: */
;
}
L210:
/* test for convergence of the gradient norm. */
if (gnorm <= gtol) {
info = 4;
}
if (info != 0) {
goto L340;
}
/* rescale if necessary. */
if (mode == 2) {
goto L230;
}
for (j = 1; j <= n; ++j) /* Computing MAX */
diag[j] = max(diag[j], wa2[j]);
L230:
/* beginning of the inner loop. */
L240:
/* determine the levenberg-marquardt parameter. */
lmpar(n, &fjac[fjac_offset], ldfjac, &ipvt[1], &diag[1], &qtf[1], delta,
&par, &wa1[1], &wa2[1], &wa3[1], &wa4[1]);
/* store the direction p and x + p. calculate the norm of p. */
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for (j = 1; j <= n; ++j) {
wa1[j] = -wa1[j];
wa2[j] = x[j] + wa1[j];
wa3[j] = diag[j] * wa1[j];
/* L250: */
}
pnorm = ei_enorm<Scalar>(n, &wa3[1]);
/* on the first iteration, adjust the initial step bound. */
if (iter == 1) {
delta = min(delta,pnorm);
}
/* evaluate the function at x + p and calculate its norm. */
iflag = (*fcn)(p, m, n, &wa2[1], &wa4[1], &wa3[1], 1);
++nfev;
if (iflag < 0) {
goto L340;
}
fnorm1 = ei_enorm<Scalar>(m, &wa4[1]);
/* compute the scaled actual reduction. */
actred = -1.;
if (p1 * fnorm1 < fnorm) /* Computing 2nd power */
actred = 1. - ei_abs2(fnorm1 / fnorm);
/* compute the scaled predicted reduction and */
/* the scaled directional derivative. */
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for (j = 1; j <= n; ++j) {
wa3[j] = 0.;
l = ipvt[j];
temp = wa1[l];
for (i = 1; i <= j; ++i) {
wa3[i] += fjac[i + j * ldfjac] * temp;
/* L260: */
}
/* L270: */
}
temp1 = ei_enorm<Scalar>(n, &wa3[1]) / fnorm;
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temp2 = ei_sqrt(par) * pnorm / fnorm;
/* Computing 2nd power */
prered = temp1 * temp1 + temp2 * temp2 / p5;
dirder = -(temp1 * temp1 + temp2 * temp2);
/* compute the ratio of the actual to the predicted */
/* reduction. */
ratio = 0.;
if (prered != 0.) {
ratio = actred / prered;
}
/* update the step bound. */
if (ratio > p25) {
goto L280;
}
if (actred >= 0.) {
temp = p5;
}
if (actred < 0.) {
temp = p5 * dirder / (dirder + p5 * actred);
}
if (p1 * fnorm1 >= fnorm || temp < p1) {
temp = p1;
}
/* Computing MIN */
delta = temp * min(delta, pnorm / p1);
par /= temp;
goto L300;
L280:
if (par != 0. && ratio < p75) {
goto L290;
}
delta = pnorm / p5;
par = p5 * par;
L290:
L300:
/* test for successful iteration. */
if (ratio < p0001) {
goto L330;
}
/* successful iteration. update x, fvec, and their norms. */
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for (j = 1; j <= n; ++j) {
x[j] = wa2[j];
wa2[j] = diag[j] * x[j];
/* L310: */
}
for (i = 1; i <= m; ++i) {
fvec[i] = wa4[i];
/* L320: */
}
xnorm = ei_enorm<Scalar>(n, &wa2[1]);
fnorm = fnorm1;
++iter;
L330:
/* tests for convergence. */
if (ei_abs(actred) <= ftol && prered <= ftol && p5 * ratio <= 1.) {
info = 1;
}
if (delta <= xtol * xnorm) {
info = 2;
}
if (ei_abs(actred) <= ftol && prered <= ftol && p5 * ratio <= 1. && info
== 2) {
info = 3;
}
if (info != 0) {
goto L340;
}
/* tests for termination and stringent tolerances. */
if (nfev >= maxfev) {
info = 5;
}
if (ei_abs(actred) <= epsilon<Scalar>() && prered <= epsilon<Scalar>() && p5 * ratio <= 1.) {
info = 6;
}
if (delta <= epsilon<Scalar>() * xnorm) {
info = 7;
}
if (gnorm <= epsilon<Scalar>()) {
info = 8;
}
if (info != 0) {
goto L340;
}
/* end of the inner loop. repeat if iteration unsuccessful. */
if (ratio < p0001) {
goto L240;
}
/* end of the outer loop. */
goto L30;
L340:
/* termination, either normal or user imposed. */
if (iflag < 0) {
info = iflag;
}
iflag = 0;
if (nprint > 0) {
iflag = (*fcn)(p, m, n, &x[1], &fvec[1], &wa3[1], 0);
}
return info;
/* last card of subroutine lmstr. */
} /* lmstr_ */