📄 lmfit.h
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///////////////////////////////////////////////////////////
// //
// SAGA //
// //
// System for Automated Geoscientific Analyses //
// //
// Module Library: //
// Table_Calculus //
// //
//-------------------------------------------------------//
// //
// LMFit.h //
// //
// Copyright (C) 2003 by //
// Andre Ringeler //
// //
//-------------------------------------------------------//
// //
// This file is part of 'SAGA - System for Automated //
// Geoscientific Analyses'. SAGA is free software; you //
// can redistribute it and/or modify it under the terms //
// of the GNU General Public License as published by the //
// Free Software Foundation; version 2 of the License. //
// //
// SAGA is distributed in the hope that it will be //
// useful, but WITHOUT ANY WARRANTY; without even the //
// implied warranty of MERCHANTABILITY or FITNESS FOR A //
// PARTICULAR PURPOSE. See the GNU General Public //
// License for more details. //
// //
// You should have received a copy of the GNU General //
// Public License along with this program; if not, //
// write to the Free Software Foundation, Inc., //
// 59 Temple Place - Suite 330, Boston, MA 02111-1307, //
// USA. //
// //
//-------------------------------------------------------//
// //
// e-mail: aringel@gwdg.de //
// //
// contact: Andre Ringeler //
// Institute of Geography //
// University of Goettingen //
// Goldschmidtstr. 5 //
// 37077 Goettingen //
// Germany //
// //
///////////////////////////////////////////////////////////
//---------------------------------------------------------
#ifndef LMFitH
#define LMFitH
#include <vector>
#include <math.h>
#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}
using namespace std;
class TLMFit{
public:
TLMFit (vector<double> Xdata,
vector<double> Ydata,
vector<double> Param,
void (*CfuncP)(double x, vector<double> ca,
double &y, vector<double> &dyda, int na));
~TLMFit (){};
void Fit();
// Accessors:
vector< vector<double> > Alpha() const {return alpha;};
vector< vector<double> > Covar() const {return covar;};
double Chisq() const {return chisq;};
vector<double> Param() const {return a;};
int Ndata() const {return ndata;};
int Nparam() const {return nparam;};
double Alamda() const {return alamda;};
private:
void gaussj(vector< vector<double> > &a, int m, vector< vector<double> > &b, int n);
void covsrt(int mfit);
void mrqcof(vector<double> &a, vector< vector<double> > &alpha, vector<double> &beta);
void mrqmin(void);
double chisq, alamda;
vector<double> x, y, a; //x-, y-Values, Fit-Parameters a, Sigmas
vector<int> ia; //Use Fit-Parameter for fit (1) or not (0)
vector< vector<double> > covar, alpha; //Covarianz-Matrix
int ndata, nparam; //Number of Points, Number of Parameters
void (*funcP)(double x, vector<double> ca, double &y, vector<double> &dyda, int na);
};
class ESingularMatrix {// Error Handling
public : int Type;
ESingularMatrix (int i);
};
#endif
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