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https://github.com/ruby-numo/numo-gsl
GSL interface for Ruby/Numo::NArray
https://github.com/ruby-numo/numo-gsl
gsl narray numo ruby ruby-numo scientific-computing
Last synced: 3 months ago
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GSL interface for Ruby/Numo::NArray
- Host: GitHub
- URL: https://github.com/ruby-numo/numo-gsl
- Owner: ruby-numo
- License: gpl-3.0
- Created: 2016-05-04T07:15:26.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-04-11T07:26:18.000Z (over 1 year ago)
- Last Synced: 2024-01-25T22:39:16.877Z (6 months ago)
- Topics: gsl, narray, numo, ruby, ruby-numo, scientific-computing
- Language: Ruby
- Homepage:
- Size: 1.65 MB
- Stars: 19
- Watchers: 5
- Forks: 6
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: COPYING
Lists
- data-science-with-ruby - numo-gsl
README
# GSL interface for Ruby with Numo::NArray
[GitHub](https://github.com/ruby-numo/numo-gsl) |
[RubyGems](https://rubygems.org/gems/numo-gsl)
* [GSL - GNU Scientific Library](http://www.gnu.org/software/gsl/) - version >=2.0 and <=2.3.
* Pre-alpha version under development.
* Call for help! - writing tests and examples.
# [Numo::GSL API document](http://ruby-numo.github.io/gsl/yard/)
Implemented Modules:
* [Numo::GSL -- Mathematical Functions](http://ruby-numo.github.io/gsl/yard/Numo/GSL.html)
* (Modules/Classes below are defined in Numo::GSL module, e.g., Const => Numo::GSL::Const)
* [Const -- Constants](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Const.html)
* [Poly -- Polynomials](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Poly.html)
* [Sf -- Special Functions](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Sf.html)
* [Rng -- Random Number Generation](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Rng.html)
* [Ran -- Random Number Distributions](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Ran.html)
* [Pdf -- Probability Density Functions](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Pdf.html)
* [Cdf -- Cumulative Distribution Functions](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Cdf.html)
* [Stats -- Statistics](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Stats.html)
* [Rstat -- Running Statistics](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Rstat.html)
* [Histogram -- Histograms](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Histogram.html)
* [Histogram2D -- 2D Histograms](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Histogram2D.html)
* [Spline -- Interpolation](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Spline.html)
* [Spline2D -- 2D Interpolation](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Spline2D.html)
* [Wavelet -- Wavelet Transforms](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Wavelet.html)
* [Wavelet2D -- 2D Wavelet Transforms](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Wavelet2D.html)
* [Fit -- Linear regression](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Fit.html)
* [Multifit -- Multi-parameter regression](http://ruby-numo.github.io/gsl/yard/Numo/GSL/Multifit.html)
* [SpMatrix -- Sparse Matrices](http://ruby-numo.github.io/gsl/yard/Numo/GSL/SpMatrix.html)
* [SpBlas -- Sparse BLAS](http://ruby-numo.github.io/gsl/yard/Numo/GSL/SpBlas.html)
* [SpLinalg -- Sparse Linear Algebra](http://ruby-numo.github.io/gsl/yard/Numo/GSL/SpLinalg.html)
More modules will be implemented.
# Naming convention
```
[C] GSL function/constant => [Ruby] Numo::GSL function/constant
* Constants
M_2_PI => Numo::GSL::M_2_PI
GSL_CONST_MKSA_ANGSTROM => Numo::GSL::Const::MKSA_ANGSTROM
* Module function
gsl_acosh() => Numo::GSL.acosh()
gsl_sf_bessel_J0() => Numo::GSL::Sf.bessel_J0()
* Class method
gsl_rng_alloc() => Numo::GSL::Rng.new
gsl_rng_get() => Numo::GSL::Rng#get
* Subclass
gsl_rng_type *gsl_rng_mt19937; => Numo::GSL::Rng::Mt19937 < Numo::GSL::Rng
* Exception
gsl_ran_gaussian_pdf() => Numo::GSL::Pdf.gaussian
gsl_ran_gaussian() => Numo::GSL::Rng#gaussian (Rng includes Numo::GSL::Ran)
```
# Installation
* Install [Numo::NArray](https://github.com/ruby-numo/narray)
* Install [GSL - GNU Scientific Library](http://www.gnu.org/software/gsl/) version between 2.0 and 2.3.
* Install Numo::GSL
```shell
$ gem install numo-gsl
```
# Quick start
If you're familiar with Docker, the following commands should work in most cases:
```
git clone https://github.com/ruby-numo/numo-gsl
cd gsl
docker build -t numogsl .
docker run -d -p 8888:8888 numogsl start-notebook.sh --NotebookApp.token=''
```
and open a web browser to http://localhost:8888 .
Our Docker image is based on Minimal Jupyter Notebook Stack. See https://github.com/jupyter/docker-stacks/tree/master/minimal-notebook for more details on the Docker command options.