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SimplexSeedGenerator.cxx
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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 
12 #include "Minuit2/MnFcn.h"
13 #include "Minuit2/MinimumSeed.h"
14 #include "Minuit2/MnStrategy.h"
17 
18 namespace ROOT {
19 
20  namespace Minuit2 {
21 
22 
23 MinimumSeed SimplexSeedGenerator::operator()(const MnFcn& fcn, const GradientCalculator&, const MnUserParameterState& st, const MnStrategy& stra) const {
24  // create starting state for Simplex, which corresponds to the initial parameter values
25  // using the simple Initial gradient calculator (does not use any FCN function calls)
26  unsigned int n = st.VariableParameters();
27  const MnMachinePrecision& prec = st.Precision();
28 
29  // initial starting values
30  MnAlgebraicVector x(n);
31  for(unsigned int i = 0; i < n; i++) x(i) = st.IntParameters()[i];
32  double fcnmin = fcn(x);
33  MinimumParameters pa(x, fcnmin);
34  InitialGradientCalculator igc(fcn, st.Trafo(), stra);
35  FunctionGradient dgrad = igc(pa);
36  MnAlgebraicSymMatrix mat(n);
37  double dcovar = 1.;
38  for(unsigned int i = 0; i < n; i++)
39  mat(i,i) = (fabs(dgrad.G2()(i)) > prec.Eps2() ? 1./dgrad.G2()(i) : 1.);
40  MinimumError err(mat, dcovar);
41  double edm = VariableMetricEDMEstimator().Estimate(dgrad, err);
42  MinimumState state(pa, err, dgrad, edm, fcn.NumOfCalls());
43 
44  return MinimumSeed(state, st.Trafo());
45 }
46 
47 MinimumSeed SimplexSeedGenerator::operator()(const MnFcn& fcn, const AnalyticalGradientCalculator& gc, const MnUserParameterState& st, const MnStrategy& stra) const {
48  // base class interface
49  return (*this)(fcn, (const GradientCalculator&)(gc), st, stra);
50 }
51 
52  } // namespace Minuit2
53 
54 } // namespace ROOT