lmder1.c
来自「InsightToolkit-1.4.0(有大量的优化算法程序)」· C语言 代码 · 共 171 行
C
171 行
#include "f2c.h"
#include "netlib.h"
/* Subroutine */ void lmder1_(fcn, m, n, x, fvec, fjac, ldfjac, tol, info, ipvt, wa, lwa)
void (*fcn)(integer*,integer*,doublereal*,doublereal*,doublereal*,integer*,integer*);
integer *m, *n;
doublereal *x, *fvec, *fjac;
integer *ldfjac;
doublereal *tol;
integer *info, *ipvt;
doublereal *wa;
integer *lwa;
{
/* Initialized data */
static doublereal factor = 100.;
/* Local variables */
static integer mode, nfev, njev;
static doublereal ftol, gtol, xtol;
static integer maxfev, nprint;
/* ********** */
/* subroutine lmder1 */
/* the purpose of lmder1 is to minimize the sum of the squares of */
/* m nonlinear functions in n variables by a modification of the */
/* levenberg-marquardt algorithm. this is done by using the more */
/* general least-squares solver lmder. the user must provide a */
/* subroutine which calculates the functions and the jacobian. */
/* the subroutine statement is */
/* subroutine lmder1(fcn,m,n,x,fvec,fjac,ldfjac,tol,info, */
/* ipvt,wa,lwa) */
/* where */
/* fcn is the name of the user-supplied subroutine which */
/* calculates the functions and the jacobian. fcn must */
/* be declared in an external statement in the user */
/* calling program, and should be written as follows. */
/* subroutine fcn(m,n,x,fvec,fjac,ldfjac,iflag) */
/* integer m,n,ldfjac,iflag */
/* double precision x(n),fvec(m),fjac(ldfjac,n) */
/* ---------- */
/* if iflag = 1 calculate the functions at x and */
/* return this vector in fvec. do not alter fjac. */
/* if iflag = 2 calculate the jacobian at x and */
/* return this matrix in fjac. do not alter fvec. */
/* ---------- */
/* return */
/* end */
/* the value of iflag should not be changed by fcn unless */
/* the user wants to terminate execution of lmder1. */
/* in this case set iflag to a negative integer. */
/* m is a positive integer input variable set to the number */
/* of functions. */
/* n is a positive integer input variable set to the number */
/* of variables. n must not exceed m. */
/* x is an array of length n. on input x must contain */
/* an initial estimate of the solution vector. on output x */
/* contains the final estimate of the solution vector. */
/* fvec is an output array of length m which contains */
/* the functions evaluated at the output x. */
/* fjac is an output m by n array. the upper n by n submatrix */
/* of fjac contains an upper triangular matrix r with */
/* diagonal elements of nonincreasing magnitude such that */
/* t t t */
/* p *(jac *jac)*p = r *r, */
/* where p is a permutation matrix and jac is the final */
/* calculated jacobian. column j of p is column ipvt(j) */
/* (see below) of the identity matrix. the lower trapezoidal */
/* part of fjac contains information generated during */
/* the computation of r. */
/* ldfjac is a positive integer input variable not less than m */
/* which specifies the leading dimension of the array fjac. */
/* tol is a nonnegative input variable. termination occurs */
/* when the algorithm estimates either that the relative */
/* error in the sum of squares is at most tol or that */
/* the relative error between x and the solution is at */
/* most tol. */
/* info is an integer output variable. if the user has */
/* terminated execution, info is set to the (negative) */
/* value of iflag. see description of fcn. otherwise, */
/* info is set as follows. */
/* info = 0 improper input parameters. */
/* info = 1 algorithm estimates that the relative error */
/* in the sum of squares is at most tol. */
/* info = 2 algorithm estimates that the relative error */
/* between x and the solution is at most tol. */
/* info = 3 conditions for info = 1 and info = 2 both hold. */
/* info = 4 fvec is orthogonal to the columns of the */
/* jacobian to machine precision. */
/* info = 5 number of calls to fcn with iflag = 1 has */
/* reached 100*(n+1). */
/* info = 6 tol is too small. no further reduction in */
/* the sum of squares is possible. */
/* info = 7 tol is too small. no further improvement in */
/* the approximate solution x is possible. */
/* ipvt is an integer output array of length n. ipvt */
/* defines a permutation matrix p such that jac*p = q*r, */
/* where jac is the final calculated jacobian, q is */
/* orthogonal (not stored), and r is upper triangular */
/* with diagonal elements of nonincreasing magnitude. */
/* column j of p is column ipvt(j) of the identity matrix. */
/* wa is a work array of length lwa. */
/* lwa is a positive integer input variable not less than 5*n+m. */
/* subprograms called */
/* user-supplied ...... fcn */
/* minpack-supplied ... lmder */
/* argonne national laboratory. minpack project. march 1980. */
/* burton s. garbow, kenneth e. hillstrom, jorge j. more */
/* ********** */
*info = 0;
/* check the input parameters for errors. */
if (*n <= 0 || *m < *n || *ldfjac < *m || *tol < 0. || *lwa < *n * 5 + *m)
return;
/* call lmder. */
maxfev = (*n + 1) * 100;
ftol = *tol;
xtol = *tol;
gtol = 0.;
mode = 1;
nprint = 0;
lmder_(fcn, m, n, x, fvec, fjac, ldfjac, &ftol, &xtol, >ol, &maxfev, wa, &mode, &factor, &nprint,
info, &nfev, &njev, ipvt, &wa[*n], &wa[*n << 1], &wa[*n * 3], &wa[(*n << 2)], &wa[*n * 5]);
#ifdef NUMERICS_DEBUG
printf("INFO = %d\n", *info);
#endif
if (*info == 8) {
*info = 4;
}
} /* lmder1_ */
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