Log of /trunk/math/minuit/inc/TLinearMinimizer.h

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Revision 25486 - (view) (download) (as text) (annotate) - [select for diffs]
Modified Mon Sep 22 12:43:03 2008 UTC (6 years, 4 months ago) by moneta
File length: 4036 byte(s)
Diff to previous 23623

import changes from math development branches for subdirectory math. List of changes in detail: 

mathcore: 
---------
  MinimizerOptions: 
	new  class for storing Minimizer option, with static default values that can be 
	changed by the user

  FitConfig: 
   	- use default values from MinimizerOption class
   	- rename method to create parameter settings from a function

  FitUtil.cxx:   
    	improve the derivative calculations used in the effective chi2 and in Fumili and 
	fix a bug for evaluation of likelihood or chi2 terms. 
	In  EvaluatePdf() work and return  the log of the pdf. 
      
  FitResult:
	- improve the class by adding extra information like, num. of free parameters, 
	minimizer status, global correlation coefficients, information about fixed 
	and bound parameters. 
   	- add method for getting fit confidence intervals 
  	- improve print method   

  DataRange: 
	add method SetRange to distinguish from AddRange. SetRange deletes the existing 
	ranges. 

  ParamsSettings: make few methods const

  FCN functions (Chi2FCN, LogLikelihoodFCN, etc..) 
	move some common methods and data members in base class (FitMethodFunction)

  RootFinder: add template Solve() for any callable function.  

mathmore:
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  minimizer classes: fill status information
  GSLNLSMinimizer: return error and covariance matrix 

minuit2: 
-------
  Minuit2Minimizer: fill  status information 
  DavidonErrorUpdator: check that delgam or gvg are not zero ( can happen when dg = 0)
  FumiliFCNAdapter: work on the log of pdf

minuit:
------- 
  TLinearMinimizer: add support for robust fitting
  TMinuitMinimizer: fill status information and fix a bug in filling the correlation matrix. 
 fumili:
 ------ 
  add TFumiliMinimizer: 
	wrapper class for TFumili using Minimizer interface

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Revision 23623 - (view) (download) (as text) (annotate) - [select for diffs]
Modified Wed Apr 30 16:13:06 2008 UTC (6 years, 8 months ago) by moneta
File length: 3914 byte(s)
Diff to previous 22885

- sync changes of David from dev. branch

 use directly ROOT::Math::IMultiGenFunction and ROOT::Math::IMultiGradFunction instead of typedef's

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Revision 22885 - (view) (download) (as text) (annotate) - [select for diffs]
Modified Fri Mar 28 13:57:25 2008 UTC (6 years, 9 months ago) by rdm
File length: 3938 byte(s)
Copied from: branches/dev/mathDev/minuit/inc/TLinearMinimizer.h revision 22506
Diff to previous 22564

move the following directories under the new "math" meta directory:
   mathcore
   mathmore
   fftw
   foam
   fumili
   genvector
   matrix
   minuit
   minuit2
   mlp
   physics
   smatrix
   splot
   unuran
   quadp

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Revision 22564 - (view) (download) (as text) (annotate) - [select for diffs]
Modified Mon Mar 10 14:01:37 2008 UTC (6 years, 10 months ago) by moneta
Original Path: trunk/minuit/inc/TLinearMinimizer.h
File length: 3938 byte(s)
Copied from: branches/dev/mathDev/minuit/inc/TLinearMinimizer.h revision 22506
Diff to previous 22352

- fix coding convention violations (mainly change name of RootFinder enumeration)
- fix warning observed on the Windows nightly (avid generating the dictionary for fit method functions for all platforms, it is not needed) 
- add implementation of  Minimizer interface using TMinuit and the linear fitter
- add method SetBasisFunctions in TLinearFitter class to set the linear terms  
- add some optimization of wrapped functions and improve doc

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Revision 22352 - (view) (download) (as text) (annotate) - [select for diffs]
Added Tue Feb 26 16:41:06 2008 UTC (6 years, 10 months ago) by moneta
Original Path: branches/dev/mathDev/minuit/inc/TLinearMinimizer.h
File length: 3792 byte(s)

- add plug-in for linear fitter 
- modify interface of gradient parametric function to be more consistent with normal gradient functions
 (the method required to be implemented is the partial derivative, which is used in the linear fit)