Numerical Algorithm classes from the MathCore Library and MathMore Library libraries.

## Modules | |

One-dimensional Minimization | |

Classes for one-dimensional minimization. | |

Numerical Integration | |

Classes for numerical integration of functions. These classes provide algorithms for integration of one-dimensional functions, with several adaptive and non-adaptive methods and for integration of multi-dimensional function using an adaptive method or MonteCarlo Integration (GSLMCIntegrator). The basic classes ROOT::Math::IntegratorOneDim provides a common interface for the one-dimensional methods while the class ROOT::Math::IntegratorMultiDim provides the interface for the multi-dimensional ones. The methods can be configured (e.g setting the default method with its defult parameters) using the ROOT::Math::IntegratorOneDimOptions and ROOT::Math::IntegratorMultiDimOptions classes. | |

Multi-dimensional Minimization | |

Numerical Differentiation | |

Classes for numerical differentiation. | |

One-dimensional Root-Finding | |

Classes implementing algorithms for finding the roots of a one-dimensional function. Various implementation esists in MathCore and MathMore The user interacts with a proxy class ROOT::Math::RootFinder which creates behing the chosen algorithms which are implemented using the ROOT::Math::IRootFinderMethod interface. | |

Function Approximation (ChebyshevApprox) | |

Numerical algorithm from the MathMore library and implemented using the GSL library. | |

Multidimensional ROOT finding | |

Classes for finding the roots of a multi-dimensional system. | |

Interpolation Classes | |

Classes for interpolation of points. | |

## Classes | |

class | ROOT::Math::DistSamplerOptions |

DistSampler options class. More... | |

class | ROOT::Math::GenAlgoOptions |

class implementing generic options for a numerical algorithm Just store the options in a map of string-value pairs More... | |

class | ROOT::Math::IOptions |

Generic interface for defining configuration options of a numerical algorithm. More... | |