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Diffstat (limited to 'experimental/alignment-enabled/MGIZA/src/mkcls/IterOptimization.h')
-rw-r--r--experimental/alignment-enabled/MGIZA/src/mkcls/IterOptimization.h123
1 files changed, 123 insertions, 0 deletions
diff --git a/experimental/alignment-enabled/MGIZA/src/mkcls/IterOptimization.h b/experimental/alignment-enabled/MGIZA/src/mkcls/IterOptimization.h
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+++ b/experimental/alignment-enabled/MGIZA/src/mkcls/IterOptimization.h
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+/*
+
+Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och
+
+mkcls - a program for making word classes .
+
+This program is free software; you can redistribute it and/or
+modify it under the terms of the GNU General Public License
+as published by the Free Software Foundation; either version 2
+of the License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program; if not, write to the Free Software
+Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
+USA.
+
+*/
+
+
+
+
+
+
+
+#ifndef ITEROPTIMIZATION
+#define ITEROPTIMIZATION
+
+#include "Optimization.h"
+
+
+
+
+
+#define ANZ_VERSCHLECHTERUNGEN 500
+
+extern ostream *GraphOutput;
+
+
+class IterOptimization : public Optimization
+ {
+
+
+ private:
+ int maxNonBetterIterations;
+
+
+ protected:
+ Problem &problem;
+ int curStep;
+ double curValue;
+ int bestStep;
+ double bestValue;
+ int maxStep;
+ int initialisiert;
+ short endFlag;
+ short endFlag2;
+
+
+
+
+ virtual void makeGraphOutput();
+
+
+ virtual short end()=0;
+
+
+ virtual void abkuehlen()=0;
+
+
+ virtual short accept(double delta)=0;
+
+
+ virtual void zInitialize();
+
+
+ public:
+ IterOptimization(Problem &p,int maxIter=-1);
+
+
+ IterOptimization(IterOptimization &o);
+
+
+ virtual double minimize(int steps=-1);
+
+
+ inline int getCurStep();
+
+
+ inline double getCurrentValue();
+
+
+ inline const Problem& getProblem();
+
+
+};
+
+double IterOptimizationOptimizeParameter(Problem &p,
+ double &parameter,double min,double max,
+ int nRun,int nPar,int verfahren,double &bv);
+
+inline int IterOptimization::getCurStep()
+{
+ return curStep;
+};
+inline double IterOptimization::getCurrentValue()
+{
+ return curValue;
+};
+inline const Problem& IterOptimization::getProblem()
+{
+ return problem;
+};
+
+#endif
+
+
+
+