https://github.com/juliasparse/matrixmarket.jl

Julia package to read MatrixMarket file format
https://github.com/juliasparse/matrixmarket.jl

Last synced: about 2 months ago
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Julia package to read MatrixMarket file format

• Host: GitHub
• URL: https://github.com/juliasparse/matrixmarket.jl
• Owner: JuliaSparse
• License: other
• Created: 2013-10-27T15:16:02.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2024-07-04T16:51:52.000Z (6 months ago)
• Last Synced: 2024-07-23T06:04:50.051Z (5 months ago)
• Language: Julia
• Homepage:
• Size: 66.4 KB
• Stars: 26
• Watchers: 9
• Forks: 18
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# MatrixMarket

[![Build Status](https://travis-ci.org/JuliaSparse/MatrixMarket.jl.svg?branch=master)](https://travis-ci.org/JuliaSparse/MatrixMarket.jl)

Package to read/write matrices from/to files in the [Matrix Market native exchange

format](http://math.nist.gov/MatrixMarket/formats.html#MMformat).

The [Matrix Market](http://math.nist.gov/MatrixMarket/) is a NIST repository of

"test data for use in comparative studies of algorithms for numerical linear

algebra, featuring nearly 500 sparse matrices from a variety of applications,

as well as matrix generation tools and services." Over time, the [Matrix Market's

native exchange format](http://math.nist.gov/MatrixMarket/formats.html#MMformat)

has become one of the _de facto_ standard file formats for exchanging matrix

data.

## Usage

### Read

    using MatrixMarket

    M = MatrixMarket.mmread("myfile.mtx")

`M` will be a sparse or dense matrix depending on whether the file contains a matrix

in coordinate format or array format. The specific type of `M` may be `Symmetric` or

`Hermitian` depending on the symmetry information contained in the file header.

    MatrixMarket.mmread("myfile.mtx", true)

Returns raw data from the file header. Does not read in the actual matrix elements.

### Write

    MatrixMarket.mmwrite("myfile.mtx", M)

    

`M` has to be a sparse matrix.