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- Xref: sparky sci.math:12849 sci.math.symbolic:2647
- Path: sparky!uunet!munnari.oz.au!sol.deakin.OZ.AU!sol.deakin.OZ.AU!not-for-mail
- From: huang@deakin.OZ.AU (Weiguang Huang)
- Newsgroups: sci.math,sci.math.symbolic
- Subject: RE: SymbMath: a symbolic math system learning from user
- Date: 8 Oct 1992 01:16:28 +1000
- Organization: Deakin University, Victoria, Australia
- Lines: 13
- Distribution: world
- Message-ID: <1auv0cINNg5t@sol.deakin.OZ.AU>
- NNTP-Posting-Host: sol.deakin.oz.au
-
- Subject: Re: SymbMath: a system learning from user
- From: Ice <skynet!ice@uunet.uu.net>
-
-
- I've used it a little bit. I think it is a fascinating and powerful
- demonstration of the program's adaptive abilities. My questions
- would concern things like the speed of Maple versus SymbMath, the
- language it is written in and whether or not commercial symbolic
- computation systems can really benefit from learning ability.
-
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- Ice()
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-