Add Binomial operators to EDO

edo/src/edoSamplerBinomial.h

@@ -0,0 +1,66 @@
+/*
+The Evolving Distribution Objects framework (EDO) is a template-based,
+ANSI-C++ evolutionary computation library which helps you to write your
+own estimation of distribution algorithms.
+
+This library is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation; either
+version 2.1 of the License, or (at your option) any later version.
+
+This library 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
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with this library; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
+
+Copyright (C) 2013 Thales group
+*/
+/*
+Authors:
+    Johann Dréo <johann.dreo@thalesgroup.com>
+*/
+
+#ifndef _edoSamplerBinomial_h
+#define _edoSamplerBinomial_h
+
+#include <utils/eoRNG.h>
+
+#include "edoSampler.h"
+#include "edoBinomial.h"
+
+/** A sampler for an edoBinomial distribution.
+ *
+ * @ingroup Samplers
+ * @ingroup Binomial
+ */
+template< class EOT, class D = edoBinomial<EOT> >
+class edoSamplerBinomial : public edoSampler<D>
+{
+public:
+    edoSamplerBinomial() : edoSampler<D>() {}
+
+    EOT sample( edoBinomial<EOT>& distrib )
+    {
+        unsigned int size = distrib.size();
+        assert(size > 0);
+
+        // The point we want to draw
+        // x = {x1, x2, ..., xn}
+        EOT solution;
+
+        // Sampling all dimensions
+        for( unsigned int i = 0; i < size; ++i ) {
+            // Toss a coin, biased by the proba of being 1.
+            solution.push_back( rng.flip(distrib[i]) );
+        }
+
+        return solution;
+    }
+};
+
+#endif // !_edoSamplerBinomial_h
+