SparseMatrix
Related Docs:
object SparseMatrix
| package linalg
Column-major sparse matrix.
Column-major sparse matrix. The entry values are stored in Compressed Sparse Column (CSC) format. For example, the following matrix
1.0 0.0 4.0 0.0 3.0 5.0 2.0 0.0 6.0
is stored as values: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
rowIndices=[0, 2, 1, 0, 1, 2], colPointers=[0, 2, 3, 6].
number of rows
number of columns
the index corresponding to the start of a new column
the row index of the entry. They must be in strictly increasing order for each column
non-zero matrix entries in column major
number of rows
number of columns
the index corresponding to the start of a new column (if not transposed)
the row index of the entry (if not transposed). They must be in strictly increasing order for each column
nonzero matrix entries in column major (if not transposed)
whether the matrix is transposed. If true, the matrix can be considered
Compressed Sparse Row (CSR) format, where colPtrs behaves as rowPtrs,
and rowIndices behave as colIndices, and values are stored in row major.
Gets the (i, j)-th element.
Gets the (i, j)-th element.
Returns an iterator of column vectors.
Returns an iterator of column vectors. This operation could be expensive, depending on the underlying storage.
the index corresponding to the start of a new column (if not transposed)
the index corresponding to the start of a new column (if not transposed)
Returns a matrix in dense column major, dense row major, sparse row major, or sparse column major format, whichever uses less storage.
Returns a matrix in dense column major, dense row major, sparse row major, or sparse column major format, whichever uses less storage. When dense representation is optimal, it maintains the current layout order.
Returns a matrix in dense or sparse column major format, whichever uses less storage.
Returns a matrix in dense or sparse column major format, whichever uses less storage.
Returns a matrix in dense or sparse row major format, whichever uses less storage.
Returns a matrix in dense or sparse row major format, whichever uses less storage.
Get a deep copy of the matrix.
Get a deep copy of the matrix.
Applies a function f to all the active elements of dense and sparse matrix.
Applies a function f to all the active elements of dense and sparse matrix. The ordering
of the elements are not defined.
the function takes three parameters where the first two parameters are the row
and column indices respectively with the type Int, and the final parameter is the
corresponding value in the matrix with type Double.
whether the matrix is transposed.
whether the matrix is transposed. If true, the matrix can be considered
Compressed Sparse Row (CSR) format, where colPtrs behaves as rowPtrs,
and rowIndices behave as colIndices, and values are stored in row major.
Convenience method for Matrix-Vector multiplication.
Convenience method for Matrix-Vector multiplication.
Convenience method for Matrix-DenseVector multiplication.
Convenience method for Matrix-DenseVector multiplication. For binary compatibility.
Convenience method for Matrix-DenseMatrix multiplication.
Convenience method for Matrix-DenseMatrix multiplication.
Find the number of values stored explicitly.
Find the number of values stored explicitly. These values can be zero as well.
number of columns
number of columns
Find the number of non-zero active values.
Find the number of non-zero active values.
number of rows
number of rows
the row index of the entry (if not transposed).
the row index of the entry (if not transposed). They must be in strictly increasing order for each column
Returns an iterator of row vectors.
Returns an iterator of row vectors. This operation could be expensive, depending on the underlying storage.
Converts to a dense array in column major.
Converts to a dense array in column major.
Converts this matrix to a dense matrix while maintaining the layout of the current matrix.
Converts this matrix to a dense matrix while maintaining the layout of the current matrix.
Converts this matrix to a dense matrix in column major order.
Converts this matrix to a dense matrix in column major order.
Converts this matrix to a dense matrix in row major order.
Converts this matrix to a dense matrix in row major order.
Converts this matrix to a sparse matrix while maintaining the layout of the current matrix.
Converts this matrix to a sparse matrix while maintaining the layout of the current matrix.
Converts this matrix to a sparse matrix in column major order.
Converts this matrix to a sparse matrix in column major order.
Converts this matrix to a sparse matrix in row major order.
Converts this matrix to a sparse matrix in row major order.
A human readable representation of the matrix with maximum lines and width
A human readable representation of the matrix with maximum lines and width
A human readable representation of the matrix
A human readable representation of the matrix
Transpose the Matrix.
Transpose the Matrix. Returns a new Matrix instance sharing the same underlying data.
nonzero matrix entries in column major (if not transposed)
nonzero matrix entries in column major (if not transposed)
Column-major sparse matrix. The entry values are stored in Compressed Sparse Column (CSC) format. For example, the following matrix
is stored as
values: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0],rowIndices=[0, 2, 1, 0, 1, 2],colPointers=[0, 2, 3, 6].