/// <summary>
/// Returns the compressed row storage (CRS) representation of the sparse matrix.
/// </summary>
/// <typeparam name="K">The type of keys.</typeparam>
/// <typeparam name="T">The type of entry values.</typeparam>
/// <param name="sparseMatrix">The sparse matrix to compress.</param>
/// <returns>The compressed row storage (CRS) representation of the sparse matrix.</returns>
public static CRS <T> ToCRS <K, T>(this DOKSparseMatrixBase <K, T> sparseMatrix)
{
CRS <T> crs = new CRS <T>(sparseMatrix.Size);
crs.Compress(sparseMatrix);
return(crs);
}
/// <summary>
/// Returns the compressed column storage (CCS) representation of the sparse matrix.
/// </summary>
/// <typeparam name="K">The type of keys.</typeparam>
/// <typeparam name="T">The type of entry values.</typeparam>
/// <param name="sparseMatrix">The sparse matrix to compress.</param>
/// <returns>The compressed column storage (CCS) representation of the sparse matrix.</returns>
public static CCS <T> ToCCS <K, T>(this DOKSparseMatrixBase <K, T> sparseMatrix)
{
CCS <T> ccs = new CCS <T>(sparseMatrix.Size);
ccs.Compress(sparseMatrix);
return(ccs);
}
/// <summary>
/// Compressed Value Storage (CVS) performs a basic lossless compression such that the
/// distinct entry values are aligned with their respective collection of linear indexes.
/// </summary>
/// <typeparam name="K">The type of keys.</typeparam>
/// <typeparam name="T">The type of entry values.</typeparam>
/// <param name="sparseMatrix">The sparse matrix to compress.</param>
/// <param name="linearIndexMode">The MatrixLinearIndexMode to apply to the coordinates.</param>
/// <returns>The compressed value storage (CVS) representation of the sparse matrix.</returns>
public static CVS <T> ToCVS <K, T>(this DOKSparseMatrixBase <K, T> sparseMatrix, MatrixLinearIndexMode linearIndexMode = MatrixLinearIndexMode.RowMajorOrder)
{
CVS <T> cvs = new CVS <T>(linearIndexMode, sparseMatrix.Size);
cvs.Compress(sparseMatrix);
return(cvs);
}
