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1 /*
2  * Library:   lmfit (Levenberg-Marquardt least squares fitting)
3  *
4  * File:      lmmin.h
5  *
6  * Contents:  Declarations for Levenberg-Marquardt minimization.
7  *
8  * Copyright: Joachim Wuttke, Forschungszentrum Juelich GmbH (2004-2013)
9  *
10  * License:   see ../COPYING (FreeBSD)
11  *
12  * Homepage:  apps.jcns.fz-juelich.de/lmfit
13  */
14 
15 #ifndef LMMIN_H
16 #define LMMIN_H
17 #undef __BEGIN_DECLS
18 #undef __END_DECLS
19 #ifdef __cplusplus
20 #define __BEGIN_DECLS extern "C" {
21 #define __END_DECLS }
22 #else
23 #define __BEGIN_DECLS /* empty */
24 #define __END_DECLS   /* empty */
25 #endif
26 
27 #include "lmstruct.h"
28 
29 __BEGIN_DECLS
30 
31 /* Levenberg-Marquardt minimization. */
32 void lmmin(const int n_par, double* par, const int m_dat, const void* data,
33            void (*evaluate)(const double* par, const int m_dat,
34                             const void* data, double* fvec, int* userbreak),
35            const lm_control_struct* control, lm_status_struct* status);
36 /*
37  *   This routine contains the core algorithm of our library.
38  *
39  *   It minimizes the sum of the squares of m nonlinear functions
40  *   in n variables by a modified Levenberg-Marquardt algorithm.
41  *   The function evaluation is done by the user-provided routine 'evaluate'.
42  *   The Jacobian is then calculated by a forward-difference approximation.
43  *
44  *   Parameters:
45  *
46  *      n is the number of variables (INPUT, positive integer).
47  *
48  *      x is the solution vector (INPUT/OUTPUT, array of length n).
49  *        On input it must be set to an estimated solution.
50  *        On output it yields the final estimate of the solution.
51  *
52  *      m is the number of functions to be minimized (INPUT, positive integer).
53  *        It must fulfill m>=n.
54  *
55  *      data is a pointer that is ignored by lmmin; it is however forwarded
56  *        to the user-supplied functions evaluate and printout.
57  *        In a typical application, it contains experimental data to be fitted.
58  *
59  *      evaluate is a user-supplied function that calculates the m functions.
60  *        Parameters:
61  *          n, x, m, data as above.
62  *          fvec is an array of length m; on OUTPUT, it must contain the
63  *            m function values for the parameter vector x.
64  *          userbreak is an integer pointer. When *userbreak is set to a
65  *            nonzero value, lmmin will terminate.
66  *
67  *      control contains INPUT variables that control the fit algorithm,
68  *        as declared and explained in lmstruct.h
69  *
70  *      status contains OUTPUT variables that inform about the fit result,
71  *        as declared and explained in lmstruct.h
72  */
73 
74 /* Refined calculation of Eucledian norm. */
75 double lm_enorm(int, const double*);
76 
77 __END_DECLS
78 #endif /* LMMIN_H */
79