Add Binomial operators to EDO

edo/src/edoBinomial.h

@@ -0,0 +1,68 @@
+/*
+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 _edoBinomial_h
+#define _edoBinomial_h
+
+#include <vector>
+
+#include <eoFunctor.h>
+
+/** @defgroup Binomial Binomial
+ * A binomial distribution that model marginal probabilities across variables.
+ *
+ * @ingroup Distributions
+ */
+
+/** A binomial distribution that model marginal probabilities across variables.
+ *
+ * @ingroup Distributions
+ * @ingroup Binomial
+ */
+template<class EOT, class T=std::vector<double> >
+class edoBinomial : public edoDistrib<EOT>, public T
+{
+public:
+    typedef double AtomType; // FIXME use container atom type
+
+    /** This constructor takes an initial vector of probabilities.
+     *  Use it if you have prior knowledge.
+     */
+    edoBinomial( T initial_probas ) : T(initial_probas) {}
+
+    /** This constructor makes no assumption about initial probabilities.
+     *  Every probabilities are set to 0.0.
+     */
+    edoBinomial( size_t dim, double p = 0.0 ) : T(dim,p) {}
+
+    /** Constructor without any assumption.
+     * Will create a vector of size 1 with a probability of 0.0.
+     */
+    edoBinomial() : T(1,0.0) {}
+};
+
+#endif // !_edoBinomial_h
+