+ TODO + doStats.cpp

src/TODO

@@ -0,0 +1,2 @@
+* deplacer les ecritures pour gnuplot dans des classes type eoContinue (eoMonitor)
+* integrer ACP

src/doStats.cpp

@@ -0,0 +1,192 @@
+/*
+ *             Copyright (C) 2005 Maarten Keijzer
+ *
+ *          This program is free software; you can redistribute it and/or modify
+ *          it under the terms of version 2 of the GNU General Public License as
+ *          published by the Free Software Foundation.
+ *
+ *          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
+ */
+
+#include <cassert>
+#include <cmath>
+
+#include <vector>
+#include <limits>
+
+#include "doStats.h"
+
+doStats::doStats()
+    : _n(0)
+{}
+
+void doStats::printOn(std::ostream& _os) const
+{
+    _os << "Not implemented yet! ";
+}
+
+doMean::doMean()
+    : _mean(0)
+{}
+
+void doMean::update(double v)
+{
+    _n++;
+
+    double d = v - _mean;
+
+    _mean += 1 / _n * d;
+}
+
+double doMean::get_mean() const
+{
+    return _mean;
+}
+
+void doMean::printOn(std::ostream& _os) const
+{
+    _os << get_mean();
+}
+
+doVar::doVar()
+    : _sumvar(0)
+{}
+
+void doVar::update(double v)
+{
+    _n++;
+
+    double d = v - _mean;
+
+    _mean += 1 / _n * d;
+    _sumvar += (_n - 1) / _n * d * d;
+}
+
+double doVar::get_var() const
+{
+    return _sumvar / (_n - 1);
+}
+
+double doVar::get_std() const
+{
+    return ::sqrt( get_var() );
+}
+
+void doVar::printOn(std::ostream& _os) const
+{
+    _os << get_var();
+}
+
+doCov::doCov()
+    : _meana(0), _meanb(0), _sumcov(0)
+{}
+
+void doCov::update(double a, double b)
+{
+    ++_n;
+
+    double da = a - _meana;
+    double db = b - _meanb;
+
+    _meana += 1 / _n * da;
+    _meanb += 1 / _n * db;
+
+    _sumcov += (_n - 1) / _n * da * db;
+}
+
+double doCov::get_meana() const
+{
+    return _meana;
+}
+
+double doCov::get_meanb() const
+{
+    return _meanb;
+}
+
+double doCov::get_cov() const
+{
+    return _sumcov / (_n - 1);
+}
+
+void doCov::printOn(std::ostream& _os) const
+{
+    _os << get_cov();
+}
+
+doCovMatrix::doCovMatrix(unsigned dim)
+    : _mean(dim), _sumcov(dim, std::vector< double >( dim ))
+{}
+
+void doCovMatrix::update(const std::vector<double>& v)
+{
+    assert(v.size() == _mean.size());
+
+    _n++;
+
+    for (unsigned int i = 0; i < v.size(); ++i)
+	{
+	    double d = v[i] - _mean[i];
+
+	    _mean[i] += 1 / _n * d;
+	    _sumcov[i][i] += (_n - 1) / _n * d * d;
+
+	    for (unsigned j = i; j < v.size(); ++j)
+		{
+		    double e = v[j] - _mean[j]; // _mean[j] is not updated yet
+
+		    double upd = (_n - 1) / _n * d * e;
+
+		    _sumcov[i][j] += upd;
+		    _sumcov[j][i] += upd;
+		}
+	}
+}
+
+double doCovMatrix::get_mean(int i) const
+{
+    return _mean[i];
+}
+
+double doCovMatrix::get_var(int i) const
+{
+    return _sumcov[i][i] / (_n - 1);
+}
+
+double doCovMatrix::get_std(int i) const
+{
+    return ::sqrt( get_var(i) );
+}
+
+double doCovMatrix::get_cov(int i, int j) const
+{
+    return _sumcov[i][j] / (_n - 1);
+}
+
+doHyperVolume::doHyperVolume()
+    : _hv(1)
+{}
+
+void doHyperVolume::update(double v)
+{
+    _hv *= ::sqrt(v);
+
+    assert( _hv <= std::numeric_limits< double >::max() );
+}
+
+double doHyperVolume::get_hypervolume() const
+{
+    return _hv;
+}
+
+void doHyperVolume::printOn(std::ostream& _os) const
+{
+    _os << get_hypervolume();
+}