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Re: Mathematica and Lisp

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  • Subject: [mg129592] Re: Mathematica and Lisp
  • From: "W. Craig Carter" <ccarter at MIT.EDU>
  • Date: Sat, 26 Jan 2013 16:59:26 -0500 (EST)
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On Jan 26, 2013, at 1:38 AM, Murray Eisenberg <murray at math.umass.edu> wrote:

> On Jan 25, 2013, at 1:34 AM, Richard Fateman <fateman at cs.berkeley.edu> wrote:
>
>> ...
>> .
>> There seems to be a fairly strong consensus that for numerical
>> programming there are other competitors favored in engineering schools.
>
> At least some of that "fairly strong consensus" may be ill-founded today, after Mathematica's numerical methods have evolved.
>
> Typically I encounter engineers and scientists who assure me that M****b is oh so much better than Mathematica, yet they have never actually tried Mathematica in a serious way or looked into efficiency comparisons. They were raised on M****b and so they're convinced it's the be-all and end-all for numerical work, and how dare anybodtry to tell them otherwise -- any evidence to the contrary be damned.
>

I believe that this is an accurate stereotype of my engineering colleagues---I've been struggling to persuade them to try something else for years now. There are some math and cs departments (eg, my institution) that default to M*b as well for teaching and numerical computations.  Many claim that the syntax is too obscure;  I'm curious to see if the new predictive interface alleviates this.

For the engineers, I believe the recalcitrance could be reduced with *many* more working and documented examples of NDSolve. The wolfram tutorial on advanced numerical solutions to pdes http://www.wolfram.com/learningcenter/tutorialcollection/ is fine but sparse on examples; the book doesn't target engineers.

WCC



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