_width | PLearn::RowMapSparseMatrix< T > | [protected] |
add(real scalar, bool only_on_non_zeros=true) | PLearn::RowMapSparseMatrix< T > | [inline] |
add2Columns(Vec col, bool only_on_non_zeros=true) | PLearn::RowMapSparseMatrix< T > | [inline] |
add2Rows(Vec row, bool only_on_non_zeros=true) | PLearn::RowMapSparseMatrix< T > | [inline] |
averageAcrossRowsAndColumns(Vec avg_across_rows, Vec avg_across_columns, bool only_on_non_zeros=true) | PLearn::RowMapSparseMatrix< T > | [inline] |
clear() | PLearn::RowMapSparseMatrix< T > | [inline] |
clearRow(int i) | PLearn::RowMapSparseMatrix< T > | [inline] |
density() | PLearn::RowMapSparseMatrix< T > | [inline] |
diag(Vec &d) | PLearn::RowMapSparseMatrix< T > | [inline] |
diagonalOfSquare(Vec &d) | PLearn::RowMapSparseMatrix< T > | [inline] |
dotColumn(int j, Vec v) | PLearn::RowMapSparseMatrix< T > | [inline] |
dotRow(int i, Vec v) | PLearn::RowMapSparseMatrix< T > | [inline] |
euclidianDistance(map< int, real > &map1, map< int, real > &map2) | PLearn::RowMapSparseMatrix< T > | [inline, static] |
exportToMatlabReadableFormat(string filename) | PLearn::RowMapSparseMatrix< T > | [inline] |
fillSymmetricPart(real tolerance=0) | PLearn::RowMapSparseMatrix< T > | [inline] |
getMaxColumnIndex(map< int, T > &map1, map< int, T > &map2) | PLearn::RowMapSparseMatrix< T > | [inline, static] |
isSymmetric(real tolerance=0) | PLearn::RowMapSparseMatrix< T > | [inline] |
length() const | PLearn::RowMapSparseMatrix< T > | [inline] |
load(string filename) | PLearn::RowMapSparseMatrix< T > | [inline] |
multiplyVecs(map< int, T > &map1, map< int, T > &map2) | PLearn::RowMapSparseMatrix< T > | [inline, static] |
operator *=(real scalar) | PLearn::RowMapSparseMatrix< T > | [inline] |
operator()(int i, int j) | PLearn::RowMapSparseMatrix< T > | [inline] |
operator()(int i, int j) const | PLearn::RowMapSparseMatrix< T > | [inline] |
operator()(int i) | PLearn::RowMapSparseMatrix< T > | [inline] |
product(const Vec &x, Vec &y) | PLearn::RowMapSparseMatrix< T > | [inline] |
read(istream &in) | PLearn::RowMapSparseMatrix< T > | [inline] |
resize(int n_rows, int n_columns) | PLearn::RowMapSparseMatrix< T > | [inline] |
RowMapSparseMatrix(int n_rows=0, int n_columns=0) | PLearn::RowMapSparseMatrix< T > | [inline] |
RowMapSparseMatrix(string filename) | PLearn::RowMapSparseMatrix< T > | [inline] |
RowMapSparseMatrix(const Mat &m, bool fill_all=true) | PLearn::RowMapSparseMatrix< T > | [inline] |
RowMapSparseMatrix(const SparseMatrix &sm, int n_rows, int n_cols) | PLearn::RowMapSparseMatrix< T > | [inline] |
rows | PLearn::RowMapSparseMatrix< T > | |
save(string filename) const | PLearn::RowMapSparseMatrix< T > | [inline] |
save_binary | PLearn::RowMapSparseMatrix< T > | |
saveAscii(string filename) | PLearn::RowMapSparseMatrix< T > | [inline] |
saveNonZeroElements(string filename) const | PLearn::RowMapSparseMatrix< T > | [inline] |
size() const | PLearn::RowMapSparseMatrix< T > | [inline] |
substractVecs(map< int, real > &map1, map< int, real > &map2, Vec &dest) | PLearn::RowMapSparseMatrix< T > | [inline, static] |
sumRow(int i) | PLearn::RowMapSparseMatrix< T > | [inline] |
toMat() | PLearn::RowMapSparseMatrix< T > | [inline] |
transpose(RowMapSparseMatrix< T > &src, RowMapSparseMatrix< T > &dest) | PLearn::RowMapSparseMatrix< T > | [inline, static] |
transposeProduct(RowMapSparseMatrix &m, bool verbose=false) | PLearn::RowMapSparseMatrix< T > | [inline] |
width() const | PLearn::RowMapSparseMatrix< T > | [inline] |
write(ostream &out) const | PLearn::RowMapSparseMatrix< T > | [inline] |