ROOT 6.08/07 Reference Guide |

New Object-oriented implementation of the MINUIT minimization package.

More information is available at the home page of the Minuit2 minimization package".

## Classes | |

class | ROOT::Minuit2::FCNAdapter< Function > |

template wrapped class for adapting to FCNBase signature More... | |

class | ROOT::Minuit2::FCNBase |

Interface (abstract class) defining the function to be minimized, which has to be implemented by the user. More... | |

class | ROOT::Minuit2::FCNGradAdapter< Function > |

template wrapped class for adapting to FCNBase signature a IGradFunction More... | |

class | ROOT::Minuit2::FumiliBuilder |

Builds the FunctionMinimum using the Fumili method. More... | |

class | ROOT::Minuit2::FumiliChi2FCN |

Extension of the FCNBase for the Fumili method. More... | |

class | ROOT::Minuit2::FumiliErrorUpdator |

In the case of the Fumili algorithm the Error matrix (or the Hessian matrix containing the (approximate) second derivatives) is calculated using a linearization of the model function negleting second derivatives. More... | |

class | ROOT::Minuit2::FumiliFCNAdapter< Function > |

template wrapped class for adapting to FumiliFCNBase signature More... | |

class | ROOT::Minuit2::FumiliFCNBase |

Extension of the FCNBase for the Fumili method. More... | |

class | ROOT::Minuit2::FumiliMaximumLikelihoodFCN |

Extension of the FCNBase for the Fumili method. More... | |

class | ROOT::Minuit2::FumiliMinimizer |

Instantiates the seed generator and Minimum builder for the Fumili minimization method. More... | |

class | ROOT::Minuit2::FumiliStandardChi2FCN |

Class implementing the standard chi square function, which is the sum of the squares of the figures-of-merit calculated for each measurement point, the individual figures-of-merit being: (the Value predicted by the model-measured Value)/standard deviation. More... | |

class | ROOT::Minuit2::FumiliStandardMaximumLikelihoodFCN |

Class implementing the Elements member function for the standard maximum likelihood method. More... | |

class | ROOT::Minuit2::GaussianModelFunction |

Sample implementation of a parametric function. More... | |

class | ROOT::Minuit2::GenericFunction |

Class from which all the other classes, representing functions, inherit. More... | |

class | ROOT::Minuit2::Minuit2Minimizer |

Minuit2Minimizer class implementing the ROOT::Math::Minimizer interface for Minuit2 minimization algorithm. More... | |

class | ROOT::Minuit2::MnLineSearch |

Implements a 1-dimensional minimization along a given direction (i.e. More... | |

class | ROOT::Minuit2::MnParabola |

This class defines a parabola of the form a*x*x + b*x + c. More... | |

class | ROOT::Minuit2::MnParabolaPoint |

A point of a parabola. More... | |

class | ROOT::Minuit2::ParametricFunction |

Function which has parameters. More... | |