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See:
Description
Interface Summary | |
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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 | |
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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) |
User API for the JMinuit package.
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