33 #include "tnt_array1d.h" 34 #include "tnt_array1d_utils.h" 35 #include "tnt_array2d.h" 36 #include "tnt_array2d_utils.h" 38 #include <gsl/gsl_vector.h> 39 #include <gsl/gsl_matrix.h> 40 #include <gsl/gsl_blas.h> 41 #include <gsl/gsl_multifit_nlin.h> 63 NonLinearLSQ() : _fitParms(), _uncert(), _nIters(0), _maxIters(50),
64 _status(0), _userTerminated(false), _userMessage() {}
69 virtual int nSize()
const = 0;
70 virtual int nParms()
const = 0;
91 virtual double absErr()
const {
return (1.0
E-4); }
92 virtual double relErr()
const {
return (1.0
E-4); }
96 inline int status()
const {
return (_status); }
98 inline bool success()
const {
return (_status == GSL_SUCCESS); }
103 return (std::string(gsl_strerror(_status)));
107 return (std::string(gsl_strerror(
status)));
112 const NLVector &uncerts,
double cplxconj,
125 void Terminate(
const std::string &message =
"");
126 void Abort(
const std::string &reason =
"");
137 bool _userTerminated;
138 std::string _userMessage;
140 struct _nlsqPointer {
143 static int f(
const gsl_vector *x,
void *params, gsl_vector *fx);
144 static int df(
const gsl_vector *x,
void *params, gsl_matrix *J);
145 static int fdf(
const gsl_vector *x,
void *params, gsl_vector *fx,
148 NLVector gslToNlsq(
const gsl_vector *v)
const;
149 NLMatrix gslToNlsq(
const gsl_matrix *m)
const;
150 gsl_vector *NlsqTogsl(
const NLVector &v, gsl_vector *gv = 0)
const;
151 gsl_matrix *NlsqTogsl(
const NLMatrix &m, gsl_matrix *gm = 0)
const;
152 NLVector getUncertainty(
const gsl_matrix *m)
const;
virtual ~NonLinearLSQ()
Destructor.
Definition: NonLinearLSQ.h:67
void Abort(const std::string &reason="")
Definition: NonLinearLSQ.cpp:106
std::string statusstr(int status) const
Return error message given status condition.
Definition: NonLinearLSQ.h:106
bool doContinue() const
Definition: NonLinearLSQ.h:128
void Terminate(const std::string &message="")
Definition: NonLinearLSQ.cpp:99
virtual int nParms() const =0
int maxIters() const
Maximum number iterations for valid solution.
Definition: NonLinearLSQ.h:85
int nIterations() const
Return number of iterations from last fit processing.
Definition: NonLinearLSQ.h:122
virtual NLVector f_x(const NLVector &x)=0
NonLinearLSQ Computes a fit using a Levenberg-Marquardt algorithm.
Definition: NonLinearLSQ.h:57
std::string statusstr() const
Return error message pertaining to last fit procesing.
Definition: NonLinearLSQ.h:102
NLVector uncert() const
Return uncertainties from last fit processing.
Definition: NonLinearLSQ.h:120
TNT::Array1D< double > NLVector
Definition: NonLinearLSQ.h:59
NonLinearLSQ()
Definition: NonLinearLSQ.h:63
virtual double relErr() const
Definition: NonLinearLSQ.h:92
virtual int nSize() const =0
virtual NLMatrix df_x(const NLVector &x)=0
int status() const
Return status of last fit processing.
Definition: NonLinearLSQ.h:96
bool success(int status) const
Check status for success of the given condition.
Definition: NonLinearLSQ.h:100
const double E
Sets some basic constants for use in ISIS programming.
Definition: Constants.h:55
TNT::Array2D< double > NLMatrix
Definition: NonLinearLSQ.h:60
virtual double absErr() const
Definition: NonLinearLSQ.h:91
Namespace for ISIS/Bullet specific routines.
Definition: Apollo.h:31
bool success() const
Determine success from last fit processing.
Definition: NonLinearLSQ.h:98
virtual NLVector guess()=0
int curvefit()
Definition: NonLinearLSQ.cpp:43
NLVector coefs() const
Return coefficients from last fit processing.
Definition: NonLinearLSQ.h:118
virtual int checkIteration(const int Iter, const NLVector &fitcoefs, const NLVector &uncerts, double cplxconj, int Istatus)
Default interation test simply returns input status.
Definition: NonLinearLSQ.h:111
void setMaxIters(int m)
Sets the maximum number of iterations.
Definition: NonLinearLSQ.h:77