BornAgain  1.18.0
Simulate and fit neutron and x-ray scattering at grazing incidence
Minuit2Minimizer Class Reference
Inheritance diagram for Minuit2Minimizer:
Collaboration diagram for Minuit2Minimizer:

Public Types

typedef ROOT::Math::Minimizer root_minimizer_t
 

Public Member Functions

 Minuit2Minimizer (const std::string &algorithmName="Migrad")
 
 ~Minuit2Minimizer ()
 
void setStrategy (int value)
 
int strategy () const
 
void setErrorDefinition (double value)
 
double errorDefinition () const
 
void setTolerance (double value)
 
double tolerance () const
 
void setPrecision (double value)
 
double precision () const
 
void setPrintLevel (int value)
 
int printLevel () const
 
void setMaxFunctionCalls (int value)
 
int maxFunctionCalls () const
 
std::string statusToString () const override
 
std::map< std::string, std::string > statusMap () const override
 
bool requiresResiduals () override
 
Fit::MinimizerResult minimize_scalar (fcn_scalar_t fcn, Fit::Parameters parameters) override
 
Fit::MinimizerResult minimize_residual (fcn_residual_t fcn, Fit::Parameters parameters) override
 
std::string minimizerName () const override final
 
std::string algorithmName () const override final
 
void setParameters (const Fit::Parameters &parameters)
 
double minValue () const override final
 
MinimizerOptionsoptions ()
 
const MinimizerOptionsoptions () const
 
bool providesError () const
 
void setOptions (const std::string &optionString) override final
 
virtual void clear ()
 

Protected Member Functions

void propagateOptions () override
 
const root_minimizer_trootMinimizer () const override
 
Fit::MinimizerResult minimize (Fit::Parameters parameters)
 
void propagateResults (Fit::Parameters &parameters)
 
virtual void setParameter (unsigned int index, const Fit::Parameter &par)
 
size_t fitDimension () const
 
std::vector< double > parValuesAtMinimum () const
 
std::vector< double > parErrorsAtMinimum () const
 
root_minimizer_trootMinimizer ()
 
template<class T >
OptionContainer::option_t addOption (const std::string &optionName, T value, const std::string &description="")
 
template<class T >
void setOptionValue (const std::string &optionName, T value)
 
template<class T >
optionValue (const std::string &optionName) const
 

Private Attributes

std::unique_ptr< ROOT::Minuit2::Minuit2Minimizer > m_minuit2_minimizer
 
MinimizerOptions m_options
 
MinimizerInfo m_minimizerInfo
 
std::unique_ptr< Fit::ObjectiveFunctionAdapterm_adapter
 
bool m_status
 

Detailed Description

Wrapper for the CERN ROOT facade of the Minuit2 minimizer.

See Minuit2 user manual https://root.cern.ch/root/htmldoc/guides/minuit2/Minuit2.pdf.

Definition at line 33 of file Minuit2Minimizer.h.

Member Typedef Documentation

◆ root_minimizer_t

typedef ROOT::Math::Minimizer RootMinimizerAdapter::root_minimizer_t
inherited

Definition at line 46 of file RootMinimizerAdapter.h.

Constructor & Destructor Documentation

◆ Minuit2Minimizer()

Minuit2Minimizer::Minuit2Minimizer ( const std::string &  algorithmName = "Migrad")

Definition at line 47 of file Minuit2Minimizer.cpp.

49  m_minuit2_minimizer(new ROOT::Minuit2::Minuit2Minimizer(algorithmName.c_str()))
50 {
51  addOption("Strategy", 1, "Minimization strategy (0-low, 1-medium, 2-high quality)");
52  addOption("ErrorDef", 1.0, "Error definition factor for parameter error calculation");
53  addOption("Tolerance", 0.01, "Tolerance on the function value at the minimum");
54  addOption("Precision", -1.0, "Relative floating point arithmetic precision");
55  addOption("PrintLevel", 0, "Minimizer internal print level");
56  addOption("MaxFunctionCalls", 0, "Maximum number of function calls");
57 }
static MinimizerInfo buildMinuit2Info(const std::string &defaultAlgo="")
Creates information for Minuit2Minimizer.
std::unique_ptr< ROOT::Minuit2::Minuit2Minimizer > m_minuit2_minimizer
RootMinimizerAdapter(const MinimizerInfo &minimizerInfo)
OptionContainer::option_t addOption(const std::string &optionName, T value, const std::string &description="")
std::string algorithmName() const override final
Returns name of the minimization algorithm.

References RootMinimizerAdapter::addOption().

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◆ ~Minuit2Minimizer()

Minuit2Minimizer::~Minuit2Minimizer ( )
default

Member Function Documentation

◆ setStrategy()

void Minuit2Minimizer::setStrategy ( int  value)

Sets minimization strategy (0-low, 1-medium, 2-high minimization quality).

At low quality number of function calls will be economized.

Definition at line 61 of file Minuit2Minimizer.cpp.

62 {
63  setOptionValue("Strategy", value);
64 }
void setOptionValue(const std::string &optionName, T value)

References RootMinimizerAdapter::setOptionValue().

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◆ strategy()

int Minuit2Minimizer::strategy ( ) const

Definition at line 66 of file Minuit2Minimizer.cpp.

67 {
68  return optionValue<int>("Strategy");
69 }

Referenced by propagateOptions().

◆ setErrorDefinition()

void Minuit2Minimizer::setErrorDefinition ( double  value)

Sets error definition factor for parameter error calculation.

If objective function (OF) is the usual chisquare function and if the user wants the usual one-standard-deviation errors, then the error definition should be 1.0. If OF is a negative-log-likelihood function, then 0.5. If OF is a chisquare, but the user wants two-standard-deviation errors, 4.0.

Definition at line 71 of file Minuit2Minimizer.cpp.

72 {
73  setOptionValue("ErrorDef", value);
74 }

References RootMinimizerAdapter::setOptionValue().

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◆ errorDefinition()

double Minuit2Minimizer::errorDefinition ( ) const

Definition at line 76 of file Minuit2Minimizer.cpp.

77 {
78  return optionValue<double>("ErrorDef");
79 }

Referenced by propagateOptions().

◆ setTolerance()

void Minuit2Minimizer::setTolerance ( double  value)

Sets tolerance on the function value at the minimum.

Minimization will stop when the estimated vertical distance to the minimum (EDM) is less than 0.001*tolerance*ErrorDef. Here ErrorDef=1.0 for chi squared fit and ErrorDef=0.5 for negative log likelihood fit.

Definition at line 81 of file Minuit2Minimizer.cpp.

82 {
83  setOptionValue("Tolerance", value);
84 }

References RootMinimizerAdapter::setOptionValue().

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◆ tolerance()

double Minuit2Minimizer::tolerance ( ) const

Definition at line 86 of file Minuit2Minimizer.cpp.

87 {
88  return optionValue<double>("Tolerance");
89 }

Referenced by propagateOptions().

◆ setPrecision()

void Minuit2Minimizer::setPrecision ( double  value)

Sets relative floating point arithmetic precision.

Should be adjusted when the user knows that objectiove function value is not calculated to the nominal machine accuracy. Typical values are between 10^-5 and 10^-14.

Definition at line 91 of file Minuit2Minimizer.cpp.

92 {
93  setOptionValue("Precision", value);
94 }

References RootMinimizerAdapter::setOptionValue().

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◆ precision()

double Minuit2Minimizer::precision ( ) const

Definition at line 96 of file Minuit2Minimizer.cpp.

97 {
98  return optionValue<double>("Precision");
99 }

Referenced by propagateOptions().

◆ setPrintLevel()

void Minuit2Minimizer::setPrintLevel ( int  value)

Sets minimizer internal print level.

Default value is 0 (silent).

Definition at line 101 of file Minuit2Minimizer.cpp.

102 {
103  setOptionValue("PrintLevel", value);
104 }

References RootMinimizerAdapter::setOptionValue().

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◆ printLevel()

int Minuit2Minimizer::printLevel ( ) const

Definition at line 106 of file Minuit2Minimizer.cpp.

107 {
108  return optionValue<int>("PrintLevel");
109 }

Referenced by propagateOptions().

◆ setMaxFunctionCalls()

void Minuit2Minimizer::setMaxFunctionCalls ( int  value)

Sets maximum number of objective function calls.

Definition at line 111 of file Minuit2Minimizer.cpp.

112 {
113  setOptionValue("MaxFunctionCalls", value);
114 }

References RootMinimizerAdapter::setOptionValue().

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◆ maxFunctionCalls()

int Minuit2Minimizer::maxFunctionCalls ( ) const

Definition at line 116 of file Minuit2Minimizer.cpp.

117 {
118  return optionValue<int>("MaxFunctionCalls");
119 }

Referenced by propagateOptions().

◆ statusToString()

std::string Minuit2Minimizer::statusToString ( ) const
overridevirtual

Returns string representation of current minimizer status.

Reimplemented from RootMinimizerAdapter.

Definition at line 121 of file Minuit2Minimizer.cpp.

122 {
123  return statusDescription()[rootMinimizer()->Status()];
124 }
const root_minimizer_t * rootMinimizer() const override
std::map< int, std::string > statusDescription()

References rootMinimizer(), and anonymous_namespace{Minuit2Minimizer.cpp}::statusDescription().

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◆ statusMap()

std::map< std::string, std::string > Minuit2Minimizer::statusMap ( ) const
overridevirtual

Returns map of string representing different minimizer statuses.

Reimplemented from RootMinimizerAdapter.

Definition at line 126 of file Minuit2Minimizer.cpp.

127 {
128  auto result = RootMinimizerAdapter::statusMap();
129  result["Edm"] = StringUtils::scientific(rootMinimizer()->Edm());
130  result["CovMatrixStatus"] = covmatrixStatusDescription()[rootMinimizer()->CovMatrixStatus()];
131  result["functionCalls"] = std::to_string(rootMinimizer()->NCalls());
132  return result;
133 }
virtual std::map< std::string, std::string > statusMap() const
Returns map of string representing different minimizer statuses.
std::string scientific(const T value, int n=10)
Returns scientific string representing given value of any numeric type.
Definition: StringUtils.h:54
std::map< int, std::string > covmatrixStatusDescription()

References anonymous_namespace{Minuit2Minimizer.cpp}::covmatrixStatusDescription(), rootMinimizer(), StringUtils::scientific(), and RootMinimizerAdapter::statusMap().

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◆ requiresResiduals()

bool Minuit2Minimizer::requiresResiduals ( )
overridevirtual

Returns true if minimizer computations are residual-based, false otherwise.

Reimplemented from IMinimizer.

Definition at line 138 of file Minuit2Minimizer.cpp.

139 {
140  return algorithmName() == "Fumili";
141 }

References RootMinimizerAdapter::algorithmName().

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◆ propagateOptions()

void Minuit2Minimizer::propagateOptions ( )
overrideprotectedvirtual

Propagate options down to ROOT's Minuit2Minimizer.

Implements RootMinimizerAdapter.

Definition at line 145 of file Minuit2Minimizer.cpp.

146 {
147  m_minuit2_minimizer->SetStrategy(strategy());
148  m_minuit2_minimizer->SetErrorDef(errorDefinition());
149  m_minuit2_minimizer->SetTolerance(tolerance());
150  m_minuit2_minimizer->SetPrecision(precision());
151  m_minuit2_minimizer->SetPrintLevel(printLevel());
152  m_minuit2_minimizer->SetMaxFunctionCalls(static_cast<unsigned int>(maxFunctionCalls()));
153 }
double tolerance() const
int maxFunctionCalls() const
double precision() const
double errorDefinition() const

References errorDefinition(), m_minuit2_minimizer, maxFunctionCalls(), precision(), printLevel(), strategy(), and tolerance().

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◆ rootMinimizer() [1/2]

const RootMinimizerAdapter::root_minimizer_t * Minuit2Minimizer::rootMinimizer ( ) const
overrideprotectedvirtual

Implements RootMinimizerAdapter.

Definition at line 155 of file Minuit2Minimizer.cpp.

156 {
157  return m_minuit2_minimizer.get();
158 }

References m_minuit2_minimizer.

Referenced by statusMap(), and statusToString().

◆ minimize_scalar()

MinimizerResult RootMinimizerAdapter::minimize_scalar ( fcn_scalar_t  ,
Fit::Parameters   
)
overridevirtualinherited

run minimization

Reimplemented from IMinimizer.

Definition at line 32 of file RootMinimizerAdapter.cpp.

33 {
34  // Genetic minimizer requires SetFunction before setParameters, others don't care
35  rootMinimizer()->SetFunction(*m_adapter->rootObjectiveFunction(fcn, parameters));
36  return minimize(parameters);
37 }
std::unique_ptr< Fit::ObjectiveFunctionAdapter > m_adapter
Fit::MinimizerResult minimize(Fit::Parameters parameters)
virtual const root_minimizer_t * rootMinimizer() const =0

References RootMinimizerAdapter::m_adapter, RootMinimizerAdapter::minimize(), and RootMinimizerAdapter::rootMinimizer().

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◆ minimize_residual()

MinimizerResult RootMinimizerAdapter::minimize_residual ( fcn_residual_t  fcn,
Fit::Parameters  parameters 
)
overridevirtualinherited

Reimplemented from IMinimizer.

Definition at line 39 of file RootMinimizerAdapter.cpp.

40 {
41  // Genetic minimizer requires SetFunction before setParameters, others don't care
42  rootMinimizer()->SetFunction(*m_adapter->rootResidualFunction(fcn, parameters));
43  return minimize(parameters);
44 }

References RootMinimizerAdapter::m_adapter, RootMinimizerAdapter::minimize(), and RootMinimizerAdapter::rootMinimizer().

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◆ minimizerName()

std::string RootMinimizerAdapter::minimizerName ( ) const
finaloverridevirtualinherited

Returns name of the minimizer.

Implements IMinimizer.

Definition at line 64 of file RootMinimizerAdapter.cpp.

65 {
66  return m_minimizerInfo.name();
67 }
std::string name() const
Definition: MinimizerInfo.h:56

References RootMinimizerAdapter::m_minimizerInfo, and MinimizerInfo::name().

Referenced by anonymous_namespace{MinimizerResultUtils.cpp}::reportDescription().

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◆ algorithmName()

std::string RootMinimizerAdapter::algorithmName ( ) const
finaloverridevirtualinherited

Returns name of the minimization algorithm.

Implements IMinimizer.

Definition at line 69 of file RootMinimizerAdapter.cpp.

70 {
72 }
std::string algorithmName() const
Definition: MinimizerInfo.h:59

References MinimizerInfo::algorithmName(), and RootMinimizerAdapter::m_minimizerInfo.

Referenced by anonymous_namespace{MinimizerResultUtils.cpp}::reportDescription(), and requiresResiduals().

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◆ setParameters()

void RootMinimizerAdapter::setParameters ( const Fit::Parameters parameters)
inherited

Definition at line 74 of file RootMinimizerAdapter.cpp.

75 {
76  unsigned int index(0);
77  for (const auto& par : parameters)
78  setParameter(index++, par);
79 }
virtual void setParameter(unsigned int index, const Fit::Parameter &par)

References RootMinimizerAdapter::setParameter().

Referenced by RootMinimizerAdapter::minimize().

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◆ minValue()

double RootMinimizerAdapter::minValue ( ) const
finaloverridevirtualinherited

Returns minimum function value.

Reimplemented from IMinimizer.

Definition at line 81 of file RootMinimizerAdapter.cpp.

82 {
83  return rootMinimizer()->MinValue();
84 }

References RootMinimizerAdapter::rootMinimizer().

Referenced by RootMinimizerAdapter::minimize(), and RootMinimizerAdapter::statusMap().

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◆ options() [1/2]

MinimizerOptions& RootMinimizerAdapter::options ( )
inlineinherited

◆ options() [2/2]

const MinimizerOptions& RootMinimizerAdapter::options ( ) const
inlineinherited

Definition at line 64 of file RootMinimizerAdapter.h.

64 { return m_options; }

References RootMinimizerAdapter::m_options.

◆ providesError()

bool RootMinimizerAdapter::providesError ( ) const
inherited

Returns true if minimizer provides error and error matrix.

Definition at line 91 of file RootMinimizerAdapter.cpp.

92 {
93  return rootMinimizer()->ProvidesError();
94 }

References RootMinimizerAdapter::rootMinimizer().

Referenced by RootMinimizerAdapter::propagateResults(), and RootMinimizerAdapter::statusMap().

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◆ setOptions()

void RootMinimizerAdapter::setOptions ( const std::string &  optionString)
finaloverridevirtualinherited

Sets option string to the minimizer.

Reimplemented from IMinimizer.

Definition at line 111 of file RootMinimizerAdapter.cpp.

112 {
113  options().setOptionString(optionString);
114 }
void setOptionString(const std::string &options)
Set options from their string representation.
MinimizerOptions & options()

References RootMinimizerAdapter::options(), and MinimizerOptions::setOptionString().

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◆ minimize()

MinimizerResult RootMinimizerAdapter::minimize ( Fit::Parameters  parameters)
protectedinherited

Definition at line 46 of file RootMinimizerAdapter.cpp.

47 {
48  setParameters(parameters);
50 
51  m_status = rootMinimizer()->Minimize();
52  propagateResults(parameters);
53 
54  MinimizerResult result;
55  result.setParameters(parameters);
56  result.setMinValue(minValue());
58  result.setNumberOfCalls(m_adapter->numberOfCalls());
59  result.setNumberOfGradientCalls(m_adapter->numberOfGradientCalls());
60 
61  return result;
62 }
Result of minimization round.
void setReport(const std::string &value)
void setMinValue(double value)
void setNumberOfGradientCalls(int value)
void setNumberOfCalls(int value)
void setParameters(const Parameters &parameters)
double minValue() const override final
Returns minimum function value.
void propagateResults(Fit::Parameters &parameters)
Propagates results of minimization to fit parameter set.
virtual void propagateOptions()=0
void setParameters(const Fit::Parameters &parameters)
std::string reportToString(const RootMinimizerAdapter &minimizer)
Reports results of minimization in the form of multi-line string.

References RootMinimizerAdapter::m_adapter, RootMinimizerAdapter::m_status, RootMinimizerAdapter::minValue(), RootMinimizerAdapter::propagateOptions(), RootMinimizerAdapter::propagateResults(), MinimizerResultUtils::reportToString(), RootMinimizerAdapter::rootMinimizer(), Fit::MinimizerResult::setMinValue(), Fit::MinimizerResult::setNumberOfCalls(), Fit::MinimizerResult::setNumberOfGradientCalls(), RootMinimizerAdapter::setParameters(), Fit::MinimizerResult::setParameters(), and Fit::MinimizerResult::setReport().

Referenced by RootMinimizerAdapter::minimize_residual(), and RootMinimizerAdapter::minimize_scalar().

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◆ propagateResults()

void RootMinimizerAdapter::propagateResults ( Fit::Parameters parameters)
protectedinherited

Propagates results of minimization to fit parameter set.

Definition at line 118 of file RootMinimizerAdapter.cpp.

119 {
120  parameters.setValues(parValuesAtMinimum());
121  parameters.setErrors(parErrorsAtMinimum());
122  // sets correlation matrix
123  if (providesError()) {
125  matrix.resize(fitDimension());
126 
127  for (size_t i = 0; i < fitDimension(); ++i) {
128  matrix[i].resize(fitDimension(), 0.0);
129  for (size_t j = 0; j < fitDimension(); ++j)
130  matrix[i][j] = rootMinimizer()->Correlation(static_cast<unsigned int>(i),
131  static_cast<unsigned int>(j));
132  }
133  parameters.setCorrelationMatrix(matrix);
134  }
135 }
void setValues(const std::vector< double > &values)
Definition: Parameters.cpp:64
void setCorrelationMatrix(const corr_matrix_t &matrix)
Definition: Parameters.cpp:122
void setErrors(const std::vector< double > &errors)
Definition: Parameters.cpp:90
std::vector< std::vector< double > > corr_matrix_t
Definition: Parameters.h:33
size_t fitDimension() const
Returns number of fit parameters defined (i.e. dimension of the function to be minimized).
std::vector< double > parErrorsAtMinimum() const
Returns errors of the variables at minimum.
std::vector< double > parValuesAtMinimum() const
Returns value of the variables at minimum.
bool providesError() const
Returns true if minimizer provides error and error matrix.

References RootMinimizerAdapter::fitDimension(), RootMinimizerAdapter::parErrorsAtMinimum(), RootMinimizerAdapter::parValuesAtMinimum(), RootMinimizerAdapter::providesError(), RootMinimizerAdapter::rootMinimizer(), Fit::Parameters::setCorrelationMatrix(), Fit::Parameters::setErrors(), and Fit::Parameters::setValues().

Referenced by RootMinimizerAdapter::minimize().

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◆ setParameter()

void RootMinimizerAdapter::setParameter ( unsigned int  index,
const Fit::Parameter par 
)
protectedvirtualinherited

Reimplemented in GSLLevenbergMarquardtMinimizer, and GeneticMinimizer.

Definition at line 137 of file RootMinimizerAdapter.cpp.

138 {
139  bool success;
140  if (par.limits().isFixed()) {
141  success = rootMinimizer()->SetFixedVariable(index, par.name().c_str(), par.value());
142 
143  }
144 
145  else if (par.limits().isLimited()) {
146  success = rootMinimizer()->SetLimitedVariable(index, par.name().c_str(), par.value(),
147  par.step(), par.limits().lowerLimit(),
148  par.limits().upperLimit());
149  }
150 
151  else if (par.limits().isLowerLimited()) {
152  success = rootMinimizer()->SetLowerLimitedVariable(index, par.name().c_str(), par.value(),
153  par.step(), par.limits().lowerLimit());
154  }
155 
156  else if (par.limits().isUpperLimited()) {
157  success = rootMinimizer()->SetUpperLimitedVariable(index, par.name().c_str(), par.value(),
158  par.step(), par.limits().upperLimit());
159  }
160 
161  else if (par.limits().isLimitless()) {
162  success = rootMinimizer()->SetVariable(index, par.name().c_str(), par.value(), par.step());
163  }
164 
165  else {
166  throw std::runtime_error("BasicMinimizer::setParameter() -> Error! Unexpected parameter.");
167  }
168 
169  if (!success) {
170  std::ostringstream ostr;
171  ostr << "BasicMinimizer::setParameter() -> Error! Can't set minimizer's fit parameter";
172  ostr << "Index:" << index << " name '" << par.name() << "'";
173  throw std::runtime_error(ostr.str());
174  }
175 }
double lowerLimit() const
Definition: AttLimits.cpp:86
double upperLimit() const
Definition: AttLimits.cpp:91
bool isUpperLimited() const
Definition: AttLimits.cpp:71
bool isFixed() const
Definition: AttLimits.cpp:61
bool isLimitless() const
Definition: AttLimits.cpp:81
bool isLimited() const
Definition: AttLimits.cpp:66
bool isLowerLimited() const
Definition: AttLimits.cpp:76
double step() const
Definition: Parameter.cpp:66
std::string name() const
Definition: Parameter.cpp:41
AttLimits limits() const
Definition: Parameter.cpp:51
double value() const
Definition: Parameter.cpp:56

References AttLimits::isFixed(), AttLimits::isLimited(), AttLimits::isLimitless(), AttLimits::isLowerLimited(), AttLimits::isUpperLimited(), Fit::Parameter::limits(), AttLimits::lowerLimit(), Fit::Parameter::name(), RootMinimizerAdapter::rootMinimizer(), Fit::Parameter::step(), AttLimits::upperLimit(), and Fit::Parameter::value().

Referenced by GeneticMinimizer::setParameter(), GSLLevenbergMarquardtMinimizer::setParameter(), and RootMinimizerAdapter::setParameters().

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◆ fitDimension()

size_t RootMinimizerAdapter::fitDimension ( ) const
protectedinherited

Returns number of fit parameters defined (i.e. dimension of the function to be minimized).

Definition at line 179 of file RootMinimizerAdapter.cpp.

180 {
181  return rootMinimizer()->NDim();
182 }

References RootMinimizerAdapter::rootMinimizer().

Referenced by RootMinimizerAdapter::parErrorsAtMinimum(), RootMinimizerAdapter::parValuesAtMinimum(), and RootMinimizerAdapter::propagateResults().

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◆ parValuesAtMinimum()

std::vector< double > RootMinimizerAdapter::parValuesAtMinimum ( ) const
protectedinherited

Returns value of the variables at minimum.

Definition at line 186 of file RootMinimizerAdapter.cpp.

187 {
188  std::vector<double> result;
189  result.resize(fitDimension(), 0.0);
190  std::copy(rootMinimizer()->X(), rootMinimizer()->X() + fitDimension(), result.begin());
191  return result;
192 }

References RootMinimizerAdapter::fitDimension(), and RootMinimizerAdapter::rootMinimizer().

Referenced by RootMinimizerAdapter::propagateResults().

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◆ parErrorsAtMinimum()

std::vector< double > RootMinimizerAdapter::parErrorsAtMinimum ( ) const
protectedinherited

Returns errors of the variables at minimum.

Definition at line 196 of file RootMinimizerAdapter.cpp.

197 {
198  std::vector<double> result;
199  result.resize(fitDimension(), 0.0);
200  if (rootMinimizer()->Errors() != 0) {
201  std::copy(rootMinimizer()->Errors(), rootMinimizer()->Errors() + fitDimension(),
202  result.begin());
203  }
204  return result;
205 }

References RootMinimizerAdapter::fitDimension(), and RootMinimizerAdapter::rootMinimizer().

Referenced by RootMinimizerAdapter::propagateResults().

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◆ rootMinimizer() [2/2]

RootMinimizerAdapter::root_minimizer_t * RootMinimizerAdapter::rootMinimizer ( )
protectedinherited

Definition at line 207 of file RootMinimizerAdapter.cpp.

208 {
209  return const_cast<root_minimizer_t*>(
210  static_cast<const RootMinimizerAdapter*>(this)->rootMinimizer());
211 }
Pure virtual interface that adapts the CERN ROOT minimizer to our IMinimizer.
ROOT::Math::Minimizer root_minimizer_t

References RootMinimizerAdapter::rootMinimizer().

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◆ addOption()

template<class T >
OptionContainer::option_t RootMinimizerAdapter::addOption ( const std::string &  optionName,
value,
const std::string &  description = "" 
)
protectedinherited

Definition at line 110 of file RootMinimizerAdapter.h.

112 {
113  return m_options.addOption(optionName, value, description);
114 }
option_t addOption(const std::string &optionName, T value, const std::string &description="")

References OptionContainer::addOption(), and RootMinimizerAdapter::m_options.

Referenced by GeneticMinimizer::GeneticMinimizer(), GSLLevenbergMarquardtMinimizer::GSLLevenbergMarquardtMinimizer(), GSLMultiMinimizer::GSLMultiMinimizer(), Minuit2Minimizer(), and SimAnMinimizer::SimAnMinimizer().

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◆ setOptionValue()

◆ optionValue()

template<class T >
T RootMinimizerAdapter::optionValue ( const std::string &  optionName) const
protectedinherited

Definition at line 121 of file RootMinimizerAdapter.h.

122 {
123  return m_options.optionValue<T>(optionName);
124 }
T optionValue(const std::string &optionName) const

References RootMinimizerAdapter::m_options, and OptionContainer::optionValue().

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◆ clear()

virtual void IMinimizer::clear ( )
inlinevirtualinherited

clear resources (parameters) for consecutives minimizations

Definition at line 50 of file IMinimizer.h.

50 {}

Member Data Documentation

◆ m_minuit2_minimizer

std::unique_ptr<ROOT::Minuit2::Minuit2Minimizer> Minuit2Minimizer::m_minuit2_minimizer
private

Definition at line 84 of file Minuit2Minimizer.h.

Referenced by propagateOptions(), and rootMinimizer().

◆ m_options

◆ m_minimizerInfo

MinimizerInfo RootMinimizerAdapter::m_minimizerInfo
privateinherited

◆ m_adapter

std::unique_ptr<Fit::ObjectiveFunctionAdapter> RootMinimizerAdapter::m_adapter
privateinherited

◆ m_status

bool RootMinimizerAdapter::m_status
privateinherited

The documentation for this class was generated from the following files: