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https://github.com/juliasparse/harwellrutherfordboeing.jl
A Julia Reader for the Harwell-Boeing and Rutherford-Boeing Formats
https://github.com/juliasparse/harwellrutherfordboeing.jl
Last synced: about 2 months ago
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A Julia Reader for the Harwell-Boeing and Rutherford-Boeing Formats
- Host: GitHub
- URL: https://github.com/juliasparse/harwellrutherfordboeing.jl
- Owner: JuliaSparse
- License: mit
- Created: 2014-04-27T07:44:08.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-07-17T23:08:40.000Z (over 1 year ago)
- Last Synced: 2024-10-12T07:39:56.515Z (3 months ago)
- Language: Ruby
- Homepage:
- Size: 313 KB
- Stars: 5
- Watchers: 11
- Forks: 5
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# A [Julia](http://julialang.org) reader for the [Harwell-Boeing](http://math.nist.gov/MatrixMarket/formats.html#hb) and [Rutherford-Boeing](https://www.cise.ufl.edu/research/sparse/matrices/DOC/rb.pdf) formats
[![build-gh][build-gh-img]][build-gh-url] [![build-cirrus][build-cirrus-img]][build-cirrus-url]
[build-gh-img]: https://github.com/JuliaSmoothOptimizers/Krylov.jl/workflows/CI/badge.svg?branch=main
[build-gh-url]: https://github.com/JuliaSmoothOptimizers/Krylov.jl/actions
[build-cirrus-img]: https://img.shields.io/cirrus/github/JuliaSmoothOptimizers/Krylov.jl?logo=Cirrus%20CI
[build-cirrus-url]: https://cirrus-ci.com/github/JuliaSmoothOptimizers/Krylov.jl## Installing
```julia
julia> ]
pkg> add HarwellRutherfordBoeing
pkg> test HarwellRutherfordBoeing
```## Obtaining the Harwell-Boeing Collection
Retrieve the systems from the [Harwell-Boeing Collection](https://math.nist.gov/MatrixMarket/data/Harwell-Boeing/).
## Obtaining Matrices and Supplementary Data in Rutherford-Boeing Format
The best source is the [University of Florida Sparse Matrix Collection](https://sparse.tamu.edu/).
## Example
```julia
using HarwellRutherfordBoeing
M = HarwellBoeingMatrix("well1850.rra")
```
```julia
Harwell-Boeing matrix WELL1850 of type RRA
1850 rows, 712 cols, 8758 nonzeros
1 right-hand sides, 0 guesses, 0 solutions
```
```julia
M.matrix
```
```julia
1850×712 SparseMatrixCSC{Float64, Int64} with 8758 stored entries:
⎡⢧⠀⠀⠀⠀⢹⠀⠀⠘⡆⠀⢳⠀⠀⡇⎤
⎢⣼⡀⠀⠀⠀⢸⡀⠀⠀⡇⠀⣸⡀⠀⡇⎥
⎢⠈⣧⠀⠀⠀⠀⡇⠀⠀⢹⠀⠈⡇⠀⡇⎥
⎢⠀⠻⡄⠀⠀⠀⢧⠀⠀⢸⠀⠀⢧⠀⡇⎥
⎢⠈⠳⣧⠀⠀⠀⢸⡀⠀⠘⡆⠈⢻⡀⡇⎥
⎢⠀⠀⢸⡄⠀⠀⠀⡇⠀⠀⡇⠀⠈⡇⡇⎥
⎢⠀⠀⠠⣷⠀⠀⠀⢹⠀⠀⢹⠀⠀⣹⡇⎥
⎢⠀⠀⠰⢾⡀⠀⠀⠸⡄⠀⢸⠀⠀⠾⡇⎥
⎢⠀⠀⢀⣨⢧⠀⠀⠀⣇⠀⠘⡆⠀⣈⣇⎥
⎢⠀⠀⢰⠙⢒⠀⠀⠀⢸⠀⠀⡇⠀⡟⣻⎥
⎢⠀⢤⣾⡃⠘⠀⠀⠀⢸⠀⠀⡇⢴⣗⢸⎥
⎢⠀⡔⡄⠃⢸⠀⠀⠀⢸⠀⠀⡇⣴⠛⢸⎥
⎢⠀⠡⡇⠀⢸⠀⠀⠀⢸⠀⠀⡇⢹⠀⢸⎥
⎢⡴⣌⣁⠀⠘⠀⠀⠀⢸⠀⠀⡷⣌⡀⢻⎥
⎢⠀⠀⢈⣷⢘⡆⠀⠀⢸⠀⠀⡇⠀⣿⢸⎥
⎢⠀⢀⣀⢿⢮⡇⠀⠀⢸⠀⠀⡇⢀⣻⢾⎥
⎢⣭⣷⠀⠀⢸⡆⠀⠀⢸⠀⠀⣯⡇⠀⣿⎥
⎢⠰⣼⠆⠀⠘⠇⠀⠀⢸⠀⠀⡷⡴⠀⢸⎥
⎢⠉⠙⠓⢲⣤⠀⠀⠀⢸⠀⠀⡏⠛⢲⣼⎥
⎣⢤⠤⡴⠛⢉⠀⠀⠀⢸⠀⠀⣧⢤⠞⢹⎦```
```julia
M.rhs'
```
```julia
1×1850 adjoint(::Matrix{Float64}) with eltype Float64:
6.40676 0.58834 6.40279 0.595772 … -3.30846 -2.91383 -2.91705
```
```julia
rb = RutherfordBoeingData("aa3.rb")
```
```julia
Rutherford-Boeing data 1681 of type pra
825 rows, 8627 cols, 70806 nonzeros
```
```julia
rb.data
```
```julia
825×8627 SparseMatrixCSC{Float64, Int64} with 70806 stored entries:
⎡⣿⣾⣿⣿⣿⣿⣻⣾⣿⣾⣿⣷⣿⣿⣿⣿⣿⣾⣿⣿⣿⣿⣿⣿⣷⣾⣿⣾⣿⣾⣟⣿⣿⣻⣿⣿⣿⣿⣷⡿⎤
⎣⢸⣿⠿⣿⢿⢿⣿⡿⣿⣿⣿⣿⣿⣽⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⣿⣿⢿⣿⣿⡿⣿⣿⣿⣿⣿⣿⣾⣿⎦
```This content is released under the [MIT](http://opensource.org/licenses/MIT) License.