LSSTApplications  19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
minimize.h
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1 // -*- LSST-C++ -*-
2 
3 /*
4  * LSST Data Management System
5  * Copyright 2008, 2009, 2010 LSST Corporation.
6  *
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8  * LSST Project (http://www.lsst.org/).
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24 
25 #ifndef LSST_AFW_MATH_MINIMIZE_H
26 #define LSST_AFW_MATH_MINIMIZE_H
27 /*
28  * Adaptor for minuit
29  *
30  * Class that Minuit knows how to minimize, that contains an lsst::afw::math::Function
31  */
32 #include <memory>
33 #include "Minuit2/FCNBase.h"
34 
35 #include "lsst/afw/math/Function.h"
36 
37 namespace lsst {
38 namespace afw {
39 namespace math {
40 
44 struct FitResults final {
45 public:
46  bool isValid;
47  double chiSq;
51 };
52 
75 template <typename ReturnT>
77  std::vector<double> const &initialParameterList, std::vector<double> const &stepSizeList,
78  std::vector<double> const &measurementList, std::vector<double> const &varianceList,
79  std::vector<double> const &xPositionList, double errorDef);
80 
104 template <typename ReturnT>
106  std::vector<double> const &initialParameterList, std::vector<double> const &stepSizeList,
107  std::vector<double> const &measurementList, std::vector<double> const &varianceList,
108  std::vector<double> const &xPositionList, std::vector<double> const &yPositionList,
109  double errorDef);
110 } // namespace math
111 } // namespace afw
112 } // namespace lsst
113 
114 #endif // !defined(LSST_AFW_MATH_MINIMIZE_H)
lsst::afw::math::FitResults
Results from minimizing a function.
Definition: minimize.h:44
lsst::afw::math::FitResults::isValid
bool isValid
true if the fit converged; false otherwise
Definition: minimize.h:46
std::vector< double >
lsst::afw
Definition: imageAlgorithm.dox:1
lsst::afw::math::minimize
FitResults minimize(lsst::afw::math::Function1< ReturnT > const &function, std::vector< double > const &initialParameterList, std::vector< double > const &stepSizeList, std::vector< double > const &measurementList, std::vector< double > const &varianceList, std::vector< double > const &xPositionList, double errorDef)
Find the minimum of a function(x)
Definition: minimize.cc:175
lsst::afw::math::FitResults::parameterErrorList
std::vector< std::pair< double, double > > parameterErrorList
negative,positive (1 sigma?) error for each parameter
Definition: minimize.h:50
lsst::afw::math::FitResults::chiSq
double chiSq
chi squared; may be nan or infinite, but only if isValid false
Definition: minimize.h:47
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst::afw::math::Function2
A Function taking two arguments.
Definition: Function.h:259
lsst::afw::math::FitResults::parameterList
std::vector< double > parameterList
fit parameters
Definition: minimize.h:48
lsst::afw::math::Function1
A Function taking one argument.
Definition: Function.h:202
Function.h