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ModularFunctionMinimizer.h
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1 // @(#)root/minuit2:$Id$
2 // Authors: M. Winkler, F. James, L. Moneta, A. Zsenei 2003-2005
3 
4 /**********************************************************************
5  * *
6  * Copyright (c) 2005 LCG ROOT Math team, CERN/PH-SFT *
7  * *
8  **********************************************************************/
9 
10 #ifndef ROOT_Minuit2_ModularFunctionMinimizer
11 #define ROOT_Minuit2_ModularFunctionMinimizer
12 
13 
14 #include "Minuit2/MnConfig.h"
15 
16 #include "Minuit2/FunctionMinimizer.h"
17 
18 #include <vector>
19 
20 namespace ROOT {
21 
22  namespace Minuit2 {
23 
24 
25 
26 class MinimumSeedGenerator;
27 class MinimumBuilder;
28 class MinimumSeed;
29 class MnFcn;
30 class GradientCalculator;
31 class MnUserParameterState;
32 class MnUserParameters;
33 class MnUserCovariance;
34 class MnStrategy;
35 class FumiliFCNBase;
36 
37 //_____________________________________________________________
38 /**
39  Base common class providing the API for all the minimizer
40  Various Minimize methods are provided varying on the type of
41  FCN function passesd and on the objects used for the parameters
42  */
43 class ModularFunctionMinimizer : public FunctionMinimizer {
44 
45 public:
46 
47  virtual ~ModularFunctionMinimizer() {}
48 
49 // inherited interface
50  virtual FunctionMinimum Minimize(const FCNBase&, const std::vector<double>&, const std::vector<double>&, unsigned int stra=1, unsigned int maxfcn = 0, double toler = 0.1) const;
51 
52  virtual FunctionMinimum Minimize(const FCNGradientBase&, const std::vector<double>&, const std::vector<double>&, unsigned int stra=1, unsigned int maxfcn = 0, double toler = 0.1) const;
53 
54  virtual FunctionMinimum Minimize(const FCNBase&, const std::vector<double>&, unsigned int, const std::vector<double>&, unsigned int stra=1, unsigned int maxfcn = 0, double toler = 0.1) const;
55 
56  virtual FunctionMinimum Minimize(const FCNGradientBase&, const std::vector<double>&, unsigned int, const std::vector<double>&, unsigned int stra=1, unsigned int maxfcn = 0, double toler = 0.1) const;
57 
58 // extension
59  virtual FunctionMinimum Minimize(const FCNBase&, const MnUserParameters&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
60 
61  virtual FunctionMinimum Minimize(const FCNGradientBase&, const MnUserParameters&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
62 
63  virtual FunctionMinimum Minimize(const FCNBase&, const MnUserParameters&, const MnUserCovariance&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
64 
65  virtual FunctionMinimum Minimize(const FCNGradientBase&, const MnUserParameters&, const MnUserCovariance&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
66 
67  virtual FunctionMinimum Minimize(const FCNBase&, const MnUserParameterState&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
68 
69  virtual FunctionMinimum Minimize(const FCNGradientBase&, const MnUserParameterState&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
70 
71  // for Fumili
72 
73 // virtual FunctionMinimum Minimize(const FumiliFCNBase&, const std::vector<double>&, const std::vector<double>&, unsigned int stra=1, unsigned int maxfcn = 0, double toler = 0.1) const;
74 
75 // virtual FunctionMinimum Minimize(const FumiliFCNBase&, const MnUserParameters&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
76 
77 // virtual FunctionMinimum Minimize(const FumiliFCNBase&, const MnUserParameters&, const MnUserCovariance&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
78 
79 // virtual FunctionMinimum Minimize(const FumiliFCNBase&, const MnUserParameterState&, const MnStrategy&, unsigned int maxfcn = 0, double toler = 0.1) const;
80 
81 
82  virtual const MinimumSeedGenerator& SeedGenerator() const = 0;
83  virtual const MinimumBuilder& Builder() const = 0;
84  virtual MinimumBuilder& Builder() = 0;
85 
86 public:
87 
88  virtual FunctionMinimum Minimize(const MnFcn&, const GradientCalculator&, const MinimumSeed&, const MnStrategy&, unsigned int, double) const;
89 
90 };
91 
92  } // namespace Minuit2
93 
94 } // namespace ROOT
95 
96 #endif // ROOT_Minuit2_ModularFunctionMinimizer
ROOT
Namespace for new ROOT classes and functions.
Definition: TFoamSampler.h:19
ROOT::Minuit2::MinimumSeed
MinimumSeed contains the starting values for the minimization produced by the SeedGenerator.
Definition: MinimumSeed.h:31
ROOT::Minuit2::ModularFunctionMinimizer::SeedGenerator
virtual const MinimumSeedGenerator & SeedGenerator() const =0
ROOT::Minuit2::FCNGradientBase
Extension of the FCNBase for providing the analytical Gradient of the function.
Definition: FCNGradientBase.h:32
ROOT::Minuit2::FunctionMinimum
class holding the full result of the minimization; both internal and external (MnUserParameterState) ...
Definition: FunctionMinimum.h:30
ROOT::Minuit2::MnFcn
Wrapper class to FCNBase interface used internally by Minuit.
Definition: MnFcn.h:33
ROOT::Minuit2::FCNBase
Interface (abstract class) defining the function to be minimized, which has to be implemented by the ...
Definition: FCNBase.h:47
ROOT::Minuit2::MnUserParameterState
class which holds the external user and/or internal Minuit representation of the parameters and error...
Definition: MnUserParameterState.h:31
ROOT::Minuit2::MnUserParameters
API class for the user interaction with the parameters; serves as input to the minimizer as well as o...
Definition: MnUserParameters.h:37
ROOT::Minuit2::ModularFunctionMinimizer::Minimize
virtual FunctionMinimum Minimize(const FCNBase &, const std::vector< double > &, const std::vector< double > &, unsigned int stra=1, unsigned int maxfcn=0, double toler=0.1) const
Definition: ModularFunctionMinimizer.cxx:41
ROOT::Minuit2::MinimumSeedGenerator
base class for seed generators (starting values); the seed generator prepares initial starting values...
Definition: MinimumSeedGenerator.h:30
ROOT::Minuit2::MnStrategy
API class for defining three levels of strategies: low (0), medium (1), high (>=2); acts on: Migrad (...
Definition: MnStrategy.h:27
ROOT::Minuit2::ModularFunctionMinimizer
Base common class providing the API for all the minimizer Various Minimize methods are provided varyi...
Definition: ModularFunctionMinimizer.h:43
ROOT::Minuit2::FunctionMinimizer
base class for function minimizers; user may give FCN or FCN with Gradient, Parameter starting values...
Definition: FunctionMinimizer.h:36
ROOT::Minuit2::GradientCalculator
interface class for gradient calculators
Definition: GradientCalculator.h:25
ROOT::Minuit2::ModularFunctionMinimizer::Builder
virtual const MinimumBuilder & Builder() const =0
ROOT::Minuit2::MnUserCovariance
Class containing the covariance matrix data represented as a vector of size n*(n+1)/2 Used to hide in...
Definition: MnUserCovariance.h:27