IndexedVMatrix.h

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 2003 Pascal Vincent, Olivier Delalleau
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// 
//  1. Redistributions of source code must retain the above copyright
//     notice, this list of conditions and the following disclaimer.
// 
//  2. Redistributions in binary form must reproduce the above copyright
//     notice, this list of conditions and the following disclaimer in the
//     documentation and/or other materials provided with the distribution.
// 
//  3. The name of the authors may not be used to endorse or promote
//     products derived from this software without specific prior written
//     permission.
// 
// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
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// This file is part of the PLearn library. For more information on the PLearn
// library, go to the PLearn Web site at www.plearn.org


/* *******************************************************      
   * $Id: IndexedVMatrix.h,v 1.7 2004/04/05 22:54:50 morinf Exp $
   ******************************************************* */


#ifndef IndexedVMatrix_INC
#define IndexedVMatrix_INC

#include "VMat.h"

namespace PLearn {
using namespace std;

class IndexedVMatrix: public VMatrix
{
  typedef VMatrix inherited;

public:
  VMat m;


  IndexedVMatrix() {}

  PLEARN_DECLARE_OBJECT(IndexedVMatrix);

  static void declareOptions(OptionList& ol);
    
  virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies);
  virtual void build();
  virtual real get(int i, int j) const;
  virtual void put(int i, int j, real value);

private:

  void build_();

};

DECLARE_OBJECT_PTR(IndexedVMatrix);

} // end of namespcae PLearn
#endif

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