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From: Rich Townsend <rhdt@barVOIDtol.udel.edu>
Newsgroups: comp.lang.ada,comp.lang.fortran
Subject: Re: Ada vs Fortran for scientific applications
Date: Tue, 23 May 2006 14:40:17 -0400
Organization: University of Delaware
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Xref: g2news2.google.com comp.lang.ada:4381 comp.lang.fortran:10144
Date: 2006-05-23T14:40:17-04:00
List-Id: <comp.lang.ada>

Brooks Moses wrote:
> Rich Townsend wrote:
> 
>> Gareth Owen wrote:
>>
>>> I think assuming anything about A*B is extremely dangerous.  Just of
>>> the top of my head, Ada and Matlab think it means matrix
>>> multiplication and Fortran and Mathematica think its pointwise
>>> multiplication.
>>>
>>> It means basically nothing in C, and in C++ it means whatever the
>>> matrix class implementor wanted it to mean.
>>
>>
>> My stance on A*B is this: if A*B denotes matrix multiplication, then 
>> A/B should denote matrix 'division': B^-1*A. Which means you need to 
>> standardize matrix inversion/linear-equations solution into the 
>> language. Which is batshit crazy.
> 
> 
> I believe that's how Matlab does it.
> 
> Then again, for Matlab's purposes, standardizing matrix inversion and 
> linear-equation solution into the language is entirely reasonable.
> 

Exactly. But I don't think you would find a single person in this newsgroup who 
would support inclusion of a solver in Fortran. And the reason would be netlib.

In this respect, Matlab is a language *AND* a library; whereas Fortran is just a 
language, and netlib is the numerics metalibrary for it.

cheers,

Rich