Re: best software environment for numerical analysis

From: Herman Rubin (hrubin_at_odds.stat.purdue.edu)
Date: 09/20/04 

Date: 20 Sep 2004 09:01:41 -0500

In article <414ce69a.127691319@news.telus.net>,
Joe Smith <joesmith323@hotmail.com> wrote:
>On Thu, 16 Sep 2004 14:29:45 +0100, Phil Webb
><philwebb@nospam.radiolink.net> wrote:

>>I am about to embark on a software project with intensive numerical
>>analysis and i have been out of it(ie software) for a while.

>>I assume for numerical analysis, from what i have recently read on the
>>internet, delphi and Python are NOT the way to go.

>It appears that you intend to write software which is really for a one
>off calculation albeit for a number of scenarios.

>Modern personal computers are incredibly fast. Apparently the new Mac
>G5 is on par with a Cray supercomputer from 1985.

This might be, but they are far from efficient for quite
a few types of problems which were much better handled
before the desire for speed was used to throw out good
mathematical instructions.

>Given how fast computers are and how slow programmers are for a one
>off calculation you should be looking for a language which will be
>easy to program in and which is not prone to the introduction of
>errors.

This is assuming that the operations wanted are even
present in the language. Low-accuracy computations of
the type envisioned by the current generation of hardware
and software designers (the present "double precision)
is really a misnomer), no matter how fast, do not do a
reasonable job of handling different or more accurate
computations. 

-- 
This address is for information only.  I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@stat.purdue.edu         Phone: (765)494-6054   FAX: (765)494-0558

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