BornAgain  1.19.0
Simulate and fit neutron and x-ray scattering at grazing incidence
SimAnMinimizer Class Reference

Wrapper for the CERN ROOT facade of the GSL simmulated annealing minimizer. More...

Inheritance diagram for SimAnMinimizer:
[legend]
Collaboration diagram for SimAnMinimizer:
[legend]

Public Types

typedef ROOT::Math::Minimizer root_minimizer_t
 

Public Member Functions

 SimAnMinimizer ()
 
 ~SimAnMinimizer () override
 
std::string algorithmName () const final
 Returns name of the minimization algorithm. More...
 
double boltzmannInitialTemp () const
 
double boltzmannK () const
 
double boltzmannMinTemp () const
 
double boltzmannMu () const
 
virtual void clear ()
 clear resources (parameters) for consecutives minimizations More...
 
int iterationsAtEachTemp () const
 
int maxIterations () const
 
mumufit::MinimizerResult minimize_residual (fcn_residual_t fcn, mumufit::Parameters parameters) override
 
mumufit::MinimizerResult minimize_scalar (fcn_scalar_t fcn, mumufit::Parameters parameters) override
 run minimization More...
 
std::string minimizerName () const final
 Returns name of the minimizer. More...
 
double minValue () const final
 Returns minimum function value. More...
 
MinimizerOptionsoptions ()
 
const MinimizerOptionsoptions () const
 
int printLevel () const
 
bool providesError () const
 Returns true if minimizer provides error and error matrix. More...
 
virtual bool requiresResiduals ()
 Returns true if minimizer computations are residual-based, false otherwise. More...
 
void setBoltzmannInitialTemp (double value)
 Sets Boltzmann distribution parameter: initial temperature. More...
 
void setBoltzmannK (double value)
 Sets Boltzmann distribution parameter: k. More...
 
void setBoltzmannMinTemp (double value)
 Sets Boltzmann distribution parameter: minimal temperature. More...
 
void setBoltzmannMu (double value)
 Sets Boltzmann distribution parameter: mu. More...
 
void setIterationsAtEachTemp (int value)
 Sets number of iterations at each temperature. More...
 
void setMaxIterations (int value)
 Sets maximum number of iterations to try at each step. More...
 
void setOptions (const std::string &optionString) final
 Sets option string to the minimizer. More...
 
void setParameters (const mumufit::Parameters &parameters)
 
void setPrintLevel (int value)
 Sets minimizer internal print level. More...
 
void setStepSize (double value)
 Sets max step size used in random walk. More...
 
std::map< std::string, std::string > statusMap () const override
 Returns map of string representing different minimizer statuses. More...
 
virtual std::string statusToString () const
 Returns string representation of current minimizer status. More...
 
double stepSize () const
 

Protected Member Functions

template<class T >
OptionContainer::option_t addOption (const std::string &optionName, T value, const std::string &description="")
 
size_t fitDimension () const
 Returns number of fit parameters defined (i.e. dimension of the function to be minimized). More...
 
mumufit::MinimizerResult minimize (mumufit::Parameters parameters)
 
template<class T >
optionValue (const std::string &optionName) const
 
std::vector< double > parErrorsAtMinimum () const
 Returns errors of the variables at minimum. More...
 
std::vector< double > parValuesAtMinimum () const
 Returns value of the variables at minimum. More...
 
void propagateOptions () override
 
void propagateResults (mumufit::Parameters &parameters)
 Propagates results of minimization to fit parameter set. More...
 
root_minimizer_trootMinimizer ()
 
const root_minimizer_trootMinimizer () const override
 
template<class T >
void setOptionValue (const std::string &optionName, T value)
 
virtual void setParameter (unsigned int index, const mumufit::Parameter &par)
 

Private Attributes

std::unique_ptr< mumufit::ObjectiveFunctionAdapterm_adapter
 
MinimizerInfo m_minimizerInfo
 
MinimizerOptions m_options
 
std::unique_ptr< ROOT::Math::GSLSimAnMinimizer > m_siman_minimizer
 
bool m_status
 

Detailed Description

Wrapper for the CERN ROOT facade of the GSL simmulated annealing minimizer.

Definition at line 32 of file SimAnMinimizer.h.

Member Typedef Documentation

◆ root_minimizer_t

typedef ROOT::Math::Minimizer MinimizerAdapter::root_minimizer_t
inherited

Definition at line 45 of file MinimizerAdapter.h.

Constructor & Destructor Documentation

◆ SimAnMinimizer()

SimAnMinimizer::SimAnMinimizer ( )

Definition at line 30 of file SimAnMinimizer.cpp.

32  , m_siman_minimizer(new ROOT::Math::GSLSimAnMinimizer())
33 {
34  addOption("PrintLevel", 0, "Minimizer internal print level");
35  addOption("MaxIterations", 100, "Number of points to try for each step");
36  addOption("IterationsAtTemp", 10, "Number of iterations at each temperature");
37  addOption("StepSize", 1.0, "Max step size used in random walk");
38  addOption("k", 1.0, "Boltzmann k");
39  addOption("t_init", 50.0, "Boltzmann initial temperature");
40  addOption("mu", 1.05, "Boltzmann mu");
41  addOption("t_min", 0.1, "Boltzmann minimal temperature");
42 }
OptionContainer::option_t addOption(const std::string &optionName, T value, const std::string &description="")
MinimizerAdapter(const MinimizerInfo &minimizerInfo)
static MinimizerInfo buildGSLSimAnInfo()
Creates information for GSL's simmulated annealing algorithm.
std::unique_ptr< ROOT::Math::GSLSimAnMinimizer > m_siman_minimizer

References MinimizerAdapter::addOption().

Here is the call graph for this function:

◆ ~SimAnMinimizer()

SimAnMinimizer::~SimAnMinimizer ( )
overridedefault

Member Function Documentation

◆ addOption()

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

Definition at line 111 of file MinimizerAdapter.h.

113 {
114  return m_options.addOption(optionName, value, description);
115 }
MinimizerOptions m_options
option_t addOption(const std::string &optionName, T value, const std::string &description="")

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

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

Here is the call graph for this function:

◆ algorithmName()

std::string MinimizerAdapter::algorithmName ( ) const
finalvirtualinherited

Returns name of the minimization algorithm.

Implements IMinimizer.

Definition at line 71 of file MinimizerAdapter.cpp.

72 {
74 }
MinimizerInfo m_minimizerInfo
std::string algorithmName() const
Definition: MinimizerInfo.h:62

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

Referenced by Minuit2Minimizer::requiresResiduals().

Here is the call graph for this function:

◆ boltzmannInitialTemp()

double SimAnMinimizer::boltzmannInitialTemp ( ) const

Definition at line 101 of file SimAnMinimizer.cpp.

102 {
103  return optionValue<double>("t_init");
104 }

Referenced by propagateOptions().

◆ boltzmannK()

double SimAnMinimizer::boltzmannK ( ) const

Definition at line 91 of file SimAnMinimizer.cpp.

92 {
93  return optionValue<double>("k");
94 }

Referenced by propagateOptions().

◆ boltzmannMinTemp()

double SimAnMinimizer::boltzmannMinTemp ( ) const

Definition at line 121 of file SimAnMinimizer.cpp.

122 {
123  return optionValue<double>("t_min");
124 }

Referenced by propagateOptions().

◆ boltzmannMu()

double SimAnMinimizer::boltzmannMu ( ) const

Definition at line 111 of file SimAnMinimizer.cpp.

112 {
113  return optionValue<double>("mu");
114 }

Referenced by propagateOptions().

◆ clear()

virtual void IMinimizer::clear ( )
inlinevirtualinherited

clear resources (parameters) for consecutives minimizations

Definition at line 49 of file IMinimizer.h.

49 {}

◆ fitDimension()

size_t MinimizerAdapter::fitDimension ( ) const
protectedinherited

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

Definition at line 181 of file MinimizerAdapter.cpp.

182 {
183  return rootMinimizer()->NDim();
184 }
virtual const root_minimizer_t * rootMinimizer() const =0

References MinimizerAdapter::rootMinimizer().

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

Here is the call graph for this function:

◆ iterationsAtEachTemp()

int SimAnMinimizer::iterationsAtEachTemp ( ) const

Definition at line 71 of file SimAnMinimizer.cpp.

72 {
73  return optionValue<int>("IterationsAtTemp");
74 }

Referenced by propagateOptions().

◆ maxIterations()

int SimAnMinimizer::maxIterations ( ) const

Definition at line 61 of file SimAnMinimizer.cpp.

62 {
63  return optionValue<int>("MaxIterations");
64 }

Referenced by propagateOptions().

◆ minimize()

MinimizerResult MinimizerAdapter::minimize ( mumufit::Parameters  parameters)
protectedinherited

Definition at line 48 of file MinimizerAdapter.cpp.

49 {
50  setParameters(parameters);
52 
53  m_status = rootMinimizer()->Minimize();
54  propagateResults(parameters);
55 
56  MinimizerResult result;
57  result.setParameters(parameters);
58  result.setMinValue(minValue());
59  result.setReport(internal::reportToString(*this));
60  result.setNumberOfCalls(m_adapter->numberOfCalls());
61  result.setNumberOfGradientCalls(m_adapter->numberOfGradientCalls());
62 
63  return result;
64 }
double minValue() const final
Returns minimum function value.
void propagateResults(mumufit::Parameters &parameters)
Propagates results of minimization to fit parameter set.
void setParameters(const mumufit::Parameters &parameters)
virtual void propagateOptions()=0
std::unique_ptr< mumufit::ObjectiveFunctionAdapter > m_adapter
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)
std::string reportToString(const MinimizerAdapter &minimizer)
Reports results of minimization in the form of multi-line string.
Definition: Report.cpp:76

References MinimizerAdapter::m_adapter, MinimizerAdapter::m_status, MinimizerAdapter::minValue(), MinimizerAdapter::propagateOptions(), MinimizerAdapter::propagateResults(), mumufit::internal::reportToString(), MinimizerAdapter::rootMinimizer(), mumufit::MinimizerResult::setMinValue(), mumufit::MinimizerResult::setNumberOfCalls(), mumufit::MinimizerResult::setNumberOfGradientCalls(), MinimizerAdapter::setParameters(), mumufit::MinimizerResult::setParameters(), and mumufit::MinimizerResult::setReport().

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

Here is the call graph for this function:

◆ minimize_residual()

MinimizerResult MinimizerAdapter::minimize_residual ( fcn_residual_t  fcn,
mumufit::Parameters  parameters 
)
overridevirtualinherited

Reimplemented from IMinimizer.

Definition at line 41 of file MinimizerAdapter.cpp.

42 {
43  // Genetic minimizer requires SetFunction before setParameters, others don't care
44  rootMinimizer()->SetFunction(*m_adapter->rootResidualFunction(fcn, parameters));
45  return minimize(parameters);
46 }
mumufit::MinimizerResult minimize(mumufit::Parameters parameters)

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

Here is the call graph for this function:

◆ minimize_scalar()

MinimizerResult MinimizerAdapter::minimize_scalar ( fcn_scalar_t  ,
mumufit::Parameters   
)
overridevirtualinherited

run minimization

Reimplemented from IMinimizer.

Definition at line 34 of file MinimizerAdapter.cpp.

35 {
36  // Genetic minimizer requires SetFunction before setParameters, others don't care
37  rootMinimizer()->SetFunction(*m_adapter->rootObjectiveFunction(fcn, parameters));
38  return minimize(parameters);
39 }

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

Here is the call graph for this function:

◆ minimizerName()

std::string MinimizerAdapter::minimizerName ( ) const
finalvirtualinherited

Returns name of the minimizer.

Implements IMinimizer.

Definition at line 66 of file MinimizerAdapter.cpp.

67 {
68  return m_minimizerInfo.name();
69 }
std::string name() const
Definition: MinimizerInfo.h:59

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

Here is the call graph for this function:

◆ minValue()

double MinimizerAdapter::minValue ( ) const
finalvirtualinherited

Returns minimum function value.

Reimplemented from IMinimizer.

Definition at line 83 of file MinimizerAdapter.cpp.

84 {
85  return rootMinimizer()->MinValue();
86 }

References MinimizerAdapter::rootMinimizer().

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

Here is the call graph for this function:

◆ options() [1/2]

MinimizerOptions& MinimizerAdapter::options ( )
inlineinherited

Definition at line 64 of file MinimizerAdapter.h.

64 { return m_options; }

References MinimizerAdapter::m_options.

Referenced by MinimizerAdapter::setOptions().

◆ options() [2/2]

const MinimizerOptions& MinimizerAdapter::options ( ) const
inlineinherited

Definition at line 65 of file MinimizerAdapter.h.

65 { return m_options; }

References MinimizerAdapter::m_options.

◆ optionValue()

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

Definition at line 122 of file MinimizerAdapter.h.

123 {
124  return m_options.optionValue<T>(optionName);
125 }
T optionValue(const std::string &optionName) const

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

Here is the call graph for this function:

◆ parErrorsAtMinimum()

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

Returns errors of the variables at minimum.

Definition at line 198 of file MinimizerAdapter.cpp.

199 {
200  std::vector<double> result;
201  result.resize(fitDimension(), 0.0);
202  if (rootMinimizer()->Errors() != 0) {
203  std::copy(rootMinimizer()->Errors(), rootMinimizer()->Errors() + fitDimension(),
204  result.begin());
205  }
206  return result;
207 }
size_t fitDimension() const
Returns number of fit parameters defined (i.e. dimension of the function to be minimized).

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

Referenced by MinimizerAdapter::propagateResults().

Here is the call graph for this function:

◆ parValuesAtMinimum()

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

Returns value of the variables at minimum.

Definition at line 188 of file MinimizerAdapter.cpp.

189 {
190  std::vector<double> result;
191  result.resize(fitDimension(), 0.0);
192  std::copy(rootMinimizer()->X(), rootMinimizer()->X() + fitDimension(), result.begin());
193  return result;
194 }

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

Referenced by MinimizerAdapter::propagateResults().

Here is the call graph for this function:

◆ printLevel()

int SimAnMinimizer::printLevel ( ) const

Definition at line 51 of file SimAnMinimizer.cpp.

52 {
53  return optionValue<int>("PrintLevel");
54 }

◆ propagateOptions()

void SimAnMinimizer::propagateOptions ( )
overrideprotectedvirtual

Implements MinimizerAdapter.

Definition at line 133 of file SimAnMinimizer.cpp.

134 {
135  ROOT::Math::GSLSimAnParams& pars = m_siman_minimizer->getSolver().Params();
136  pars.n_tries = maxIterations();
137  pars.iters_fixed_T = iterationsAtEachTemp();
138  pars.step_size = stepSize();
139  pars.k = boltzmannK();
140  pars.t_initial = boltzmannInitialTemp();
141  pars.mu_t = boltzmannMu();
142  pars.t_min = boltzmannMinTemp();
143 }
int iterationsAtEachTemp() const
double boltzmannMinTemp() const
int maxIterations() const
double stepSize() const
double boltzmannK() const
double boltzmannInitialTemp() const
double boltzmannMu() const

References boltzmannInitialTemp(), boltzmannK(), boltzmannMinTemp(), boltzmannMu(), iterationsAtEachTemp(), m_siman_minimizer, maxIterations(), and stepSize().

Here is the call graph for this function:

◆ propagateResults()

void MinimizerAdapter::propagateResults ( mumufit::Parameters parameters)
protectedinherited

Propagates results of minimization to fit parameter set.

Definition at line 120 of file MinimizerAdapter.cpp.

121 {
122  parameters.setValues(parValuesAtMinimum());
123  parameters.setErrors(parErrorsAtMinimum());
124  // sets correlation matrix
125  if (providesError()) {
127  matrix.resize(fitDimension());
128 
129  for (size_t i = 0; i < fitDimension(); ++i) {
130  matrix[i].resize(fitDimension(), 0.0);
131  for (size_t j = 0; j < fitDimension(); ++j)
132  matrix[i][j] = rootMinimizer()->Correlation(static_cast<unsigned int>(i),
133  static_cast<unsigned int>(j));
134  }
135  parameters.setCorrelationMatrix(matrix);
136  }
137 }
std::vector< double > parValuesAtMinimum() const
Returns value of the variables at minimum.
bool providesError() const
Returns true if minimizer provides error and error matrix.
std::vector< double > parErrorsAtMinimum() const
Returns errors of the variables at minimum.
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:31

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

Referenced by MinimizerAdapter::minimize().

Here is the call graph for this function:

◆ providesError()

bool MinimizerAdapter::providesError ( ) const
inherited

Returns true if minimizer provides error and error matrix.

Definition at line 93 of file MinimizerAdapter.cpp.

94 {
95  return rootMinimizer()->ProvidesError();
96 }

References MinimizerAdapter::rootMinimizer().

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

Here is the call graph for this function:

◆ requiresResiduals()

virtual bool IMinimizer::requiresResiduals ( )
inlinevirtualinherited

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

Reimplemented in Minuit2Minimizer, and GSLLevenbergMarquardtMinimizer.

Definition at line 59 of file IMinimizer.h.

59 { return false; }

◆ rootMinimizer() [1/2]

MinimizerAdapter::root_minimizer_t * MinimizerAdapter::rootMinimizer ( )
protectedinherited

Definition at line 209 of file MinimizerAdapter.cpp.

210 {
211  return const_cast<root_minimizer_t*>(
212  static_cast<const MinimizerAdapter*>(this)->rootMinimizer());
213 }
Abstract base class that adapts the CERN ROOT minimizer to our IMinimizer.
ROOT::Math::Minimizer root_minimizer_t

References MinimizerAdapter::rootMinimizer().

Here is the call graph for this function:

◆ rootMinimizer() [2/2]

const MinimizerAdapter::root_minimizer_t * SimAnMinimizer::rootMinimizer ( ) const
overrideprotectedvirtual

Implements MinimizerAdapter.

Definition at line 145 of file SimAnMinimizer.cpp.

146 {
147  return m_siman_minimizer.get();
148 }

References m_siman_minimizer.

Referenced by statusMap().

◆ setBoltzmannInitialTemp()

void SimAnMinimizer::setBoltzmannInitialTemp ( double  value)

Sets Boltzmann distribution parameter: initial temperature.

Definition at line 96 of file SimAnMinimizer.cpp.

97 {
98  setOptionValue("t_init", value);
99 }
void setOptionValue(const std::string &optionName, T value)

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setBoltzmannK()

void SimAnMinimizer::setBoltzmannK ( double  value)

Sets Boltzmann distribution parameter: k.

Definition at line 86 of file SimAnMinimizer.cpp.

87 {
88  setOptionValue("k", value);
89 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setBoltzmannMinTemp()

void SimAnMinimizer::setBoltzmannMinTemp ( double  value)

Sets Boltzmann distribution parameter: minimal temperature.

Definition at line 116 of file SimAnMinimizer.cpp.

117 {
118  setOptionValue("t_min", value);
119 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setBoltzmannMu()

void SimAnMinimizer::setBoltzmannMu ( double  value)

Sets Boltzmann distribution parameter: mu.

Definition at line 106 of file SimAnMinimizer.cpp.

107 {
108  setOptionValue("mu", value);
109 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setIterationsAtEachTemp()

void SimAnMinimizer::setIterationsAtEachTemp ( int  value)

Sets number of iterations at each temperature.

Definition at line 66 of file SimAnMinimizer.cpp.

67 {
68  setOptionValue("IterationsAtTemp", value);
69 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setMaxIterations()

void SimAnMinimizer::setMaxIterations ( int  value)

Sets maximum number of iterations to try at each step.

Definition at line 56 of file SimAnMinimizer.cpp.

57 {
58  setOptionValue("MaxIterations", value);
59 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ setOptions()

void MinimizerAdapter::setOptions ( const std::string &  optionString)
finalvirtualinherited

Sets option string to the minimizer.

Reimplemented from IMinimizer.

Definition at line 113 of file MinimizerAdapter.cpp.

114 {
115  options().setOptionString(optionString);
116 }
MinimizerOptions & options()
void setOptionString(const std::string &options)
Set options from their string representation.

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

Here is the call graph for this function:

◆ setOptionValue()

◆ setParameter()

void MinimizerAdapter::setParameter ( unsigned int  index,
const mumufit::Parameter par 
)
protectedvirtualinherited

Reimplemented in GSLLevenbergMarquardtMinimizer, and GeneticMinimizer.

Definition at line 139 of file MinimizerAdapter.cpp.

140 {
141  bool success;
142  if (par.limits().isFixed()) {
143  success = rootMinimizer()->SetFixedVariable(index, par.name().c_str(), par.value());
144 
145  }
146 
147  else if (par.limits().isLimited()) {
148  success = rootMinimizer()->SetLimitedVariable(index, par.name().c_str(), par.value(),
149  par.step(), par.limits().lowerLimit(),
150  par.limits().upperLimit());
151  }
152 
153  else if (par.limits().isLowerLimited()) {
154  success = rootMinimizer()->SetLowerLimitedVariable(index, par.name().c_str(), par.value(),
155  par.step(), par.limits().lowerLimit());
156  }
157 
158  else if (par.limits().isUpperLimited()) {
159  success = rootMinimizer()->SetUpperLimitedVariable(index, par.name().c_str(), par.value(),
160  par.step(), par.limits().upperLimit());
161  }
162 
163  else if (par.limits().isLimitless()) {
164  success = rootMinimizer()->SetVariable(index, par.name().c_str(), par.value(), par.step());
165  }
166 
167  else {
168  throw std::runtime_error("BasicMinimizer::setParameter() -> Error! Unexpected parameter.");
169  }
170 
171  if (!success) {
172  std::ostringstream ostr;
173  ostr << "BasicMinimizer::setParameter() -> Error! Can't set minimizer's fit parameter";
174  ostr << "Index:" << index << " name '" << par.name() << "'";
175  throw std::runtime_error(ostr.str());
176  }
177 }
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:69
std::string name() const
Definition: Parameter.cpp:44
AttLimits limits() const
Definition: Parameter.cpp:54
double value() const
Definition: Parameter.cpp:59

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

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

Here is the call graph for this function:

◆ setParameters()

void MinimizerAdapter::setParameters ( const mumufit::Parameters parameters)
inherited

Definition at line 76 of file MinimizerAdapter.cpp.

77 {
78  unsigned int index(0);
79  for (const auto& par : parameters)
80  setParameter(index++, par);
81 }
virtual void setParameter(unsigned int index, const mumufit::Parameter &par)

References MinimizerAdapter::setParameter().

Referenced by MinimizerAdapter::minimize().

Here is the call graph for this function:

◆ setPrintLevel()

void SimAnMinimizer::setPrintLevel ( int  value)

Sets minimizer internal print level.

Default value is 0 (silent).

Definition at line 46 of file SimAnMinimizer.cpp.

47 {
48  setOptionValue("PrintLevel", value);
49 }

References MinimizerAdapter::setOptionValue().

Here is the call graph for this function:

◆ setStepSize()

void SimAnMinimizer::setStepSize ( double  value)

Sets max step size used in random walk.

Definition at line 76 of file SimAnMinimizer.cpp.

77 {
78  setOptionValue("StepSize", value);
79 }

References MinimizerAdapter::setOptionValue().

Referenced by SimAnMinimizerItem::createMinimizer().

Here is the call graph for this function:

◆ statusMap()

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

Returns map of string representing different minimizer statuses.

Reimplemented from MinimizerAdapter.

Definition at line 126 of file SimAnMinimizer.cpp.

127 {
128  auto result = MinimizerAdapter::statusMap();
129  result["functionCalls"] = std::to_string(rootMinimizer()->NCalls());
130  return result;
131 }
virtual std::map< std::string, std::string > statusMap() const
Returns map of string representing different minimizer statuses.
const root_minimizer_t * rootMinimizer() const override

References rootMinimizer(), and MinimizerAdapter::statusMap().

Here is the call graph for this function:

◆ statusToString()

std::string MinimizerAdapter::statusToString ( ) const
virtualinherited

Returns string representation of current minimizer status.

Reimplemented in Minuit2Minimizer, GSLMultiMinimizer, GSLLevenbergMarquardtMinimizer, and GeneticMinimizer.

Definition at line 88 of file MinimizerAdapter.cpp.

89 {
90  return m_status ? "Minimum found" : "Error in solving";
91 }

References MinimizerAdapter::m_status.

Referenced by MinimizerAdapter::statusMap().

◆ stepSize()

double SimAnMinimizer::stepSize ( ) const

Definition at line 81 of file SimAnMinimizer.cpp.

82 {
83  return optionValue<double>("StepSize");
84 }

Referenced by propagateOptions().

Member Data Documentation

◆ m_adapter

std::unique_ptr<mumufit::ObjectiveFunctionAdapter> MinimizerAdapter::m_adapter
privateinherited

◆ m_minimizerInfo

MinimizerInfo MinimizerAdapter::m_minimizerInfo
privateinherited

◆ m_options

◆ m_siman_minimizer

std::unique_ptr<ROOT::Math::GSLSimAnMinimizer> SimAnMinimizer::m_siman_minimizer
private

Definition at line 77 of file SimAnMinimizer.h.

Referenced by propagateOptions(), and rootMinimizer().

◆ m_status

bool MinimizerAdapter::m_status
privateinherited

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