Package org.freehep.math.minuit

• Interface Summary 

  Interface	Description
  FCNBase	User function base class, has to be implemented by the user.
  FCNGradientBase	Extension of FCNBase for providing the analytical gradient of the function.

• Class Summary 

  Class	Description
  ContoursError
  FunctionMinimum	Result of the minimization.
  MinosError
  MnApplication	Base class for minimizers.
  MnContours	API class for Contours error analysis (2-dim errors).
  MnEigen	Calculates and the eigenvalues of the user covariance matrix MnUserCovariance.
  MnGlobalCorrelationCoeff
  MnHesse	With MnHesse the user can instructs MINUIT to calculate, by finite differences, the Hessian or error matrix.
  MnMachinePrecision	Determines the relative floating point arithmetic precision.
  MnMigrad	MnMigrad provides minimization of the function by the method of MIGRAD, the most efficient and complete single method, recommended for general functions, and the functionality for parameters interaction.
  MnMinimize	Causes minimization of the function by the method of MIGRAD, as does the MnMigrad class, but switches to the SIMPLEX method if MIGRAD fails to converge.
  MnMinos	API class for Minos error analysis (asymmetric errors).
  MnPlot	MnPlot produces a text-screen graphical output of (x,y) points.
  MnPrint	Utilities for printing various minuit results.
  MnScan	MnScan scans the value of the user function by varying one parameter.
  MnSimplex	SIMPLEX is a function minimization method using the simplex method of Nelder and Mead.
  MnStrategy	API class for defining three levels of strategies: low (0), medium (1), high (>=2).
  MnUserCovariance	MnUserCovariance is the external covariance matrix designed for the interaction of the user.
  MnUserParameters	API class for the user interaction with the parameters.
  MnUserParameterState	The class MnUserParameterState contains the MnUserParameters and the MnUserCovariance.
  Point	A class representing a pair of double (x,y) or (lower,upper)

Package org.freehep.math.minuit Description