PLearn 0.1
SparseMatrix.h
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00001 // -*- C++ -*-
00002 
00003 // PLearn (A C++ Machine Learning Library)
00004 // Copyright (C) 1999-2002 Yoshua Bengio
00005 //
00006 
00007 // Redistribution and use in source and binary forms, with or without
00008 // modification, are permitted provided that the following conditions are met:
00009 // 
00010 //  1. Redistributions of source code must retain the above copyright
00011 //     notice, this list of conditions and the following disclaimer.
00012 // 
00013 //  2. Redistributions in binary form must reproduce the above copyright
00014 //     notice, this list of conditions and the following disclaimer in the
00015 //     documentation and/or other materials provided with the distribution.
00016 // 
00017 //  3. The name of the authors may not be used to endorse or promote
00018 //     products derived from this software without specific prior written
00019 //     permission.
00020 // 
00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00031 // 
00032 // This file is part of the PLearn library. For more information on the PLearn
00033 // library, go to the PLearn Web site at www.plearn.org
00034 
00037 #ifndef SPARSEMATRIX
00038 #define SPARSEMATRIX
00039 
00040 #include "Mat.h"
00041 #include <plearn/base/Array.h>
00042 
00043 namespace PLearn {
00044 using namespace std;
00045 
00046 
00057 class SparseMatrix {
00058 public:
00059     int n_rows;  
00060     Vec beginRow;
00061     Vec endRow;
00062     Vec row;
00063     Vec values;
00064 
00065     int length() const { return n_rows; }
00066     int width() const { return beginRow.length(); }
00067 
00068     SparseMatrix() {}
00069     SparseMatrix(int nbrows,int n_columns,int n_non_zero) 
00070         : n_rows(nbrows), beginRow(n_columns), endRow(n_columns), 
00071           row(n_non_zero), values(n_non_zero) {}
00072     SparseMatrix(Vec bRow, Vec eRow, Vec Row, Vec Values, int nbrows)
00073         : n_rows(nbrows), beginRow(bRow), endRow(eRow),
00074           row(Row), values(Values) {}
00075 
00077     SparseMatrix(Mat m);
00078 
00079     SparseMatrix(string filename) { loadFortran(filename.c_str()); }
00080 
00081     void resize(int nbrows,int n_columns,int n_non_zero);
00082 
00085     void loadFortran(const char* filename);
00086     void saveFortran(const char* filename);
00087 
00089     Mat toMat();
00090 
00093     void product(const Vec& x, Vec& y);
00095     void diag(Vec& d);
00098     void diagonalOfSquare(Vec& d); 
00100     real dotRow(int i, Vec v);
00102     real dotColumn(int j, Vec v);
00103 };
00104 
00107 SparseMatrix operator+(const SparseMatrix& A, const SparseMatrix& B);
00109 SparseMatrix add(Array<SparseMatrix>& matrices);
00110 
00111 
00112 } // end of namespace PLearn
00113 
00114 #endif
00115 
00116 
00117 /*
00118   Local Variables:
00119   mode:c++
00120   c-basic-offset:4
00121   c-file-style:"stroustrup"
00122   c-file-offsets:((innamespace . 0)(inline-open . 0))
00123   indent-tabs-mode:nil
00124   fill-column:79
00125   End:
00126 */
00127 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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