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Journals ACM SIGACT News Volume 33 Issue 3

9. Linear Optimization and Extensions: Problems and Solutions by Alevras and Padberg. 10. An Introduction to Quantum Computing Algorithms by Pittenger. Books on Cryptography and Books on Learning 1. Introduction to Crytopgraphy by Buchmann. 2. Elliptic Curves in Crytography by Blake, Seroussi, and Smart. 3. Coding Theory and Cryptograph: The Essentials by Hankerson, Hoffman, Lenoard, Linder, Phelps, Rodger, and Wall. 4. Learning with Kernels (Support Vector Machines, Regularization, Optimization, and Beyond) Bernard Scholkopf and Alexander Smola. 5. Learning Kernel Classifiers by Herbrich. Books on Complexity and Logic 1. Models of Computation: Exploring the Power of Computing by John Savage. 2. Complexity and Information by Traub and Werschulz. 3. Derivation and Computation by Simmons. 4. Types and Programming Languages by Pierce. 5. Logic and Language Models .for Computer Science by Hamburger and Richards. Review of Modern C o m p u t e r Algebra Authors: Joachim yon zur Gathen and Jiirgen Gerhard Publisher: Cambridge University Press Hardcover~ xiii -b 753 pages Reviewer: R. Gregory Taylor2 Department of Computer Science Trinity College (Hartford, Connecticut USA) Overview Modern computer algebra is characterizable as that branch of computer science wherein mathematical techniques and allied software are directed toward obtaining exact solutions

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Modern computer algebra

Taylor, R. Gregory
ACM SIGACT News , Volume 33 (3)
Association for Computing Machinery – Sep 1, 2002

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