Logo ROOT   6.07/09
Reference Guide
MnCovarianceSqueeze.h
Go to the documentation of this file.
1 // @(#)root/minuit2:$Id$
2 // Authors: M. Winkler, F. James, L. Moneta, A. Zsenei 2003-2005
3 
4 /**********************************************************************
5  * *
6  * Copyright (c) 2005 LCG ROOT Math team, CERN/PH-SFT *
7  * *
8  **********************************************************************/
9 
10 #ifndef ROOT_Minuit2_MnCovarianceSqueeze
11 #define ROOT_Minuit2_MnCovarianceSqueeze
12 
13 #include "Minuit2/MnMatrix.h"
14 
15 namespace ROOT {
16 
17  namespace Minuit2 {
18 
19 
20 class MnUserCovariance;
21 class MinimumError;
22 
23 /**
24  class to reduce the covariance matrix when a parameter is fixed by
25  removing the corresponding row and index
26  */
28 
29 public:
30 
32 
34 
35  MnUserCovariance operator()(const MnUserCovariance&, unsigned int) const;
36 
37  MinimumError operator()(const MinimumError&, unsigned int) const;
38 
39  MnAlgebraicSymMatrix operator()(const MnAlgebraicSymMatrix&, unsigned int) const;
40 
41 private:
42 
43 };
44 
45  } // namespace Minuit2
46 
47 } // namespace ROOT
48 
49 #endif // ROOT_Minuit2_MnCovarianceSqueeze
This namespace contains pre-defined functions to be used in conjuction with TExecutor::Map and TExecu...
Definition: StringConv.hxx:21
Class describing a symmetric matrix of size n.
Definition: LASymMatrix.h:51
class to reduce the covariance matrix when a parameter is fixed by removing the corresponding row and...
MinimumError keeps the inv.
Definition: MinimumError.h:26
MnUserCovariance operator()(const MnUserCovariance &, unsigned int) const
Class containing the covariance matrix data represented as a vector of size n*(n+1)/2 Used to hide in...