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/*
* Library: lmfit (Levenberg-Marquardt least squares fitting)
*
* File: lmmin.h
*
* Contents: Declarations for Levenberg-Marquardt minimization.
*
* Copyright: Joachim Wuttke, Forschungszentrum Juelich GmbH (2004-2013)
*
* License: see ../COPYING (FreeBSD)
*
* Homepage: apps.jcns.fz-juelich.de/lmfit
*/
#ifndef LMMIN_H
#define LMMIN_H
#undef __BEGIN_DECLS
#undef __END_DECLS
#ifdef __cplusplus
#define __BEGIN_DECLS extern "C" {
#define __END_DECLS }
#else
#define __BEGIN_DECLS /* empty */
#define __END_DECLS /* empty */
#endif
#include "lmstruct.h"
__BEGIN_DECLS
/* Levenberg-Marquardt minimization. */
void lmmin(const int n_par, double* par, const int m_dat, const void* data,
void (*evaluate)(const double* par, const int m_dat,
const void* data, double* fvec, int* userbreak),
const lm_control_struct* control, lm_status_struct* status);
/*
* This routine contains the core algorithm of our library.
*
* It minimizes the sum of the squares of m nonlinear functions
* in n variables by a modified Levenberg-Marquardt algorithm.
* The function evaluation is done by the user-provided routine 'evaluate'.
* The Jacobian is then calculated by a forward-difference approximation.
*
* Parameters:
*
* n is the number of variables (INPUT, positive integer).
*
* x is the solution vector (INPUT/OUTPUT, array of length n).
* On input it must be set to an estimated solution.
* On output it yields the final estimate of the solution.
*
* m is the number of functions to be minimized (INPUT, positive integer).
* It must fulfill m>=n.
*
* data is a pointer that is ignored by lmmin; it is however forwarded
* to the user-supplied functions evaluate and printout.
* In a typical application, it contains experimental data to be fitted.
*
* evaluate is a user-supplied function that calculates the m functions.
* Parameters:
* n, x, m, data as above.
* fvec is an array of length m; on OUTPUT, it must contain the
* m function values for the parameter vector x.
* userbreak is an integer pointer. When *userbreak is set to a
* nonzero value, lmmin will terminate.
*
* control contains INPUT variables that control the fit algorithm,
* as declared and explained in lmstruct.h
*
* status contains OUTPUT variables that inform about the fit result,
* as declared and explained in lmstruct.h
*/
/* Refined calculation of Eucledian norm. */
double lm_enorm(int, const double*);
__END_DECLS
#endif /* LMMIN_H */