T.R | Title | User | Personal Name | Date | Lines |
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1248.1 | SIGSAM news has most of it | CIVAGE::LYNN | Lynn Yarbrough WNP DTN 383-5663 | Thu May 31 1990 11:04 | 9 |
| The ACM SIGSAM (Special Interest Groups on Symbolic and Algebraic
Manipulation) journals/newsletters have a wealth of articles and references.
There is also an article by Pavelle, Rothstein, and Fitch in a back issue
of Scientific American, entitled "Computer Algebra", that introduces the
subject; I have a copy of the article but it is not dated, and does not
include the bibliography that I believe was in the original issue.
Lynn Yarbrough
|
1248.2 | More referecens | CIVAGE::LYNN | Lynn Yarbrough WNP DTN 383-5663 | Thu May 31 1990 11:27 | 18 |
| I also found *Symbolic and Algebraic Computation* by Edward W. Ng (Editor)
as *Lecture Notes in Computer Science #72*, Publ Springer-Verlag, 1979.
Also "Symbolic Mathematical Computation" in *Encyclopedia of Computer
Science and Technology*, by Belzer, Holzman, and Kent, Vol 15 Supplement,
pp.270-277 Publ Marcel Dekker, Inc NY 19??
About the oldest reference I have, although it has an even older
bibliography, is "MATHLAB: A Program for On-line Machine Assistance in
Symbolic Computations*, in the Proceedings of the 1965 Fall Joint Computer
Conference.
The MACSYMA Reference Manual - available (still?) from MIT Lab for Comp
Sci, has a long bibliography.
Good Hunting!
Lynn Yarbrough
|
1248.3 | another text | RIPPLE::ABBASI_NA | | Tue Jun 05 1990 03:19 | 3 |
| A good book is also
Computer Algebra by
j.h. Davenport, Y.Sirt, E.Tournier 1988 academic pree
|
1248.4 | another | EAGLE1::BEST | R D Best, sys arch, I/O | Wed Jun 06 1990 15:57 | 14 |
| In the DLN, I found the following:
Computer Algebra: Symbolic and Algebraic Computation
edited by Buchberger, Collins, Loos, and Albrecht
Springer-Verlag
DLN # 43600
It includes articles on algebraic simplification, finite group manipulation,
finite term integration and summation, quantifier elimination, polynomials,
homomorphic images, arithmetic in algebraic domains, and an overview of
computer algebra systems and applications.
It generally seems mathematical rather than algorithm oriented (lots of
proofs, little code).
|