crs_io

crs_io, a Python code which reads and writes Compressed Row Storage (CRS) sparse matrix files.

An MxN sparse matrix of NZ nonzero entries in compressed row format is described by three items:

• row(), a list of N+1 compressed row indices.
• col(), a list of NZ column indices.
• val(), a list of NZ values.

The nonzero entries of row I are stored in locations ROW(I) through ROW(I+1)-1 of COL and VAL.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

crs_io is available in a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

ccs_io, a Python code which reads and writes sparse linear systems stored in the Compressed Column Storage (CCS) format.

crs, a dataset directory which contains examples of the Compressed Row Storage (CRS) sparse matrix file format;

ge_to_crs, a Python code which converts a matrix from General (GE) to Compressed Row Storage (CRS) format.

st_io, a Python code which reads and writes sparse linear systems stored in the Sparse Triplet (ST) format.

Source Code:

• crs_io.py a sample calling program.
• crs_io.sh, runs the tests.
• crs_io.txt, the output file.

• simple_row.txt, the compressed row indices.
• simple_col.txt, the column indices.
• simple_val.txt, the values.