From: Olivier Saut <osaut@...>
Date: 2012-09-09T16:31:01+09:00
Subject: Re: Using ruby for scientific computing

Thanks for your answer !
I also really like Ruby and would prefer to avoid switching to Python. 

I'll have a look at octave-ruby. I have also found a project http://sciruby.com that seems to be interesting. I am not sure how far it  has improved the situation for ruby in scientific computing though. 

Best regards,
Le 8 sept. 2012 à 20:26, Admin Tensor <lists@ruby-forum.com> a écrit :

> Olivier Saut wrote in post #1075138:
>> Hi all,
>> 
>> For pedagogic purposes, I am trying to solve simple partial differential
>> equations (say a diffusion equation on a regular mesh in 2D) with Ruby.
>> Using the NArray gem, I have built a satisfactory tool from an interface
>> (and ease of use) point of view but the performance are suboptimal.
> .......
>> I am wondering what is the best way to tackle this performance problem :
>> 1. Improve the ruby code (and how? :) Should I avoid using hashes?
>> 2. Write an extension to perform these operations in C. BTW is there a
>> way to access directly NArray data (without copy) from a C extension?
>> 3. Use a wrapper like Ruby-lapack
>> (
>> https://rubyforge.org/projects/ruby-lapack/
>> ).
>> 
>> What do you think?
>> 
>> Thanks for your help !
> 
> Hi,
> 
> Because it seems that you emphasize on performance, I think the best way
> is to use GNU Octave for dealing with the sparse matrices.  There is a
> Ruby gem (octave-ruby) to bridge between Ruby and Octave objects.
> 
> I really like Ruby, but for scientific computing I think for now Python
> has better libraries.
> 
> Regards,
> 
> Bill
> 
> -- 
> Posted via http://www.ruby-forum.com/.
> 

						       	                	- Olivier