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- Path: sparky!uunet!pipex!warwick!str-ccsun!strath-cs!st-and!ajtd@honey.st-and.ac.uk
- From: ajtd@honey.st-and.ac.uk (Tony Davie)
- Newsgroups: comp.edu,comp.lang.fortran,comp.lang.misc,comp.arch,sci.math
- Subject: Re: Scientists as Programmers (was Re: Small Language Wanted)
- Message-ID: <1992Sep2.090541.29304@st-andrews.ac.uk>
- Date: 2 Sep 92 09:05:41 GMT
- References: <1992Aug25.154501.8654@colorado.edu> <1992Aug26.192410.6523@ultb.isc.rit.edu> <1992Aug27.154823.583@alchemy.chem.utoronto.ca> <BtpAIn.EE5@mentor.cc.purdue.edu> <34742@cbmvax.commodore.com> <1992Aug31.133811.3626@crd.ge.com> <1992Aug31.144045.11416@hubcap.
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- In article <1992Aug31.144045.11416@hubcap.clemson.edu>, steve@hubcap.clemson.edu ("Steve" Stevenson) writes:
- >
- > My experience is that most computer science types would not know the best
- > numerical algorithm because they don't undertand the science. The problem
- > continues to be that scientific codes are meant to deal with nature and
- > that takes someone who understands the problem. The problems keep getting
- > worse as more university dumb-down the CS curriculum.
- >
- In my experience as a computer scientist with a numerical analysis background,
- most scientists (as opposed to mathematicians) would not know the best numerical
- algorithm because they know no numerical analysis and many don't seem to
- want to know. Things as simple as
- calculating scalar products to at least double length don't seem to be
- known about.
-
- In addition, many of the best non-numerical algorithms seem to be neglected.
- Bubble sort STILL seems to be the most used sorting method, for instance.
-