rename everything from 'do' to 'edo'

src/edoNormalMono.h

@@ -0,0 +1,58 @@
+/*
+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) 2010 Thales group
+*/
+/*
+Authors:
+    Johann Dréo <johann.dreo@thalesgroup.com>
+    Caner Candan <caner.candan@thalesgroup.com>
+*/
+
+#ifndef _edoNormalMono_h
+#define _edoNormalMono_h
+
+#include "edoDistrib.h"
+
+template < typename EOT >
+class edoNormalMono : public edoDistrib< EOT >
+{
+public:
+    edoNormalMono( const EOT& mean, const EOT& variance )
+	: _mean(mean), _variance(variance)
+    {
+	assert(_mean.size() > 0);
+	assert(_mean.size() == _variance.size());
+    }
+
+    unsigned int size()
+    {
+	assert(_mean.size() == _variance.size());
+	return _mean.size();
+    }
+
+    EOT mean(){return _mean;}
+    EOT variance(){return _variance;}
+
+private:
+    EOT _mean;
+    EOT _variance;
+};
+
+#endif // !_edoNormalMono_h