Re: best software environment for numerical analysis
From: Paul Thomas (paulthomas2_at_wanadoo.fr)
Date: 09/17/04
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Date: Fri, 17 Sep 2004 11:36:48 +0000 (UTC)
On 16 Sep 2004 13:26:35 -0500, beliavsky@aol.com wrote:
GNU gcc-4.0 will include gfortran instead of g77. This is available,
G95 and gfortran forked nearly two years ago - don't ask me why
>
This choice is highly subjective and dependent on what you are trying
(i) For high performance computing and large codes, fortran or C are
(ii) For day to day, medium scale calculations/simulations, the
(iii) For syntactic simplicity in numerical calculations, with
(iv) Python with SciPy, R and all the rest were designed for other
(v) Frankly, matlab is the best; both in terms of performance and
(vi) For compatibility and performance, octave is next best and is
(vii) Scilab is also good, particularly in version 3, but has diverged
Paul T
>
>>There is a free Fortran 95 compiler for Linux, called G95, at <a
href="http://www.g95.org">http://www.g95.org>
as a beta release, either from the gcc snapshots or as Linux/Cygwin
binaries at http://f77.linksysnet.com.
because I wasn't there! It does seem like a waste of scarce effort,
though.
>Unless speed is very important, I think Python is fine, especially in
conjunction
>with the Numeric or Numarray modules and SciPy. There are many math
libraries
>callable from Python, and it is possible to call C and Fortran
libraries.
>
to do.
the way to go. Both have extensive libraries, automatic vectorizers
etc., etc..
various interpreted languages, mentioned in this thread, are ideal.
rasonable performance, matlab/octave/Scilab/FreeMat/... are ideal.
things and, in their present manifestations, can only be described
(IMO) as being clumsy for numerical work - particularly if you are
coming from a fortran world.
libraries. However, you have to have a VERY, VERY deep pocket.
FREE. It does lack the fancy graphics and the GUI but, as has already
been said on this thread, that can be dealt with by other means and
will change in the future. Above all octave has good libraries and
code written for Matlab runs on octave, pretty much as it comes. I
use Matlab at work and octave at home. Code transfers between the two
with no problem.
substantially from matlab. As David Bateman said, the license has a
commercial restriction: ".... Any commercial use or circulation of the
DERIVED( or COMPOSITE) SOFTWARE shall have been previously authorized
by INRIA and ENPC..... ".
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