EFFECTIVE POLYNOMIAL COMPUTATION ZIPPEL PDF
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Jan ; Effective Polynomial Computation; pp [object Object]. Richard Zippel. Among the mathematical problems we will investigate are computing. Booktopia has Effective Polynomial Computation, Evaluation in Education and Human Services by Richard Zippel. Buy a discounted Hardcover of Effective. R Zippel. Symbolic and algebraic computation, , , Effective polynomial computation. R Zippel. Springer Science & Business Media, .
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Bloggat om Computer Algebra and Parallelism. Factoring over Finite Fields. Journal of Symbolic Computation 9 3, Those cases where theoretically Page – M. Heintz and CP Schnorr: Effective Polynomial Computation provides much of the mathematical motivation of the algorithms discussed to help the reader appreciate the mathematical mechanisms underlying the algorithms, and so that the algorithms will not appear to be constructed out of whole cloth.
These 6 locations in Victoria: Comments and reviews What are comments? None of your libraries hold this item. Effective Polynomial Computation is an introduction to the algorithms of computer algebra.
Computer Algebra and Parallelism
The first three papers discuss particular programming substrates for parallel symbolic computatiln, especially for distributed memory machines. Effective Polynomial Computation is an introduction to the algorithms of computer algebra. The finite field popynomial is especially interesting since it uses the Connection Machine, a SIMD machine, to achievesurprising amounts of parallelism.
Computer Algebra and Parallelism: Articles 1—20 Show more. Open to the public ; Mos Open to the public A; The following articles are merged in Scholar. Add a tag Cancel Schwartz—Zippel lemma.
University of Sydney Library. University of Queensland Library. Testing Polynomials which are easy to compute, Proc. Tags What are tags?
Effective polynomial computation / by Richard Zippel. – Version details – Trove
An explicit separation of relativised random and polynomial time and relativised deterministic polynomial time R Zippel Cornell University Liquid Polynoimal A Miodownik Inbunden. In order to set up a list of libraries that you have access to, you must first login or sign up. This book contains papers presented at a workshop on the use of parallel techniques in symbolic and algebraic computation held at Cornell Polnomial in May The final two papers discuss two different approaches to speeding their computation.
This single location in New South Wales: Kluwer Academic Publishers, c Their combined citations are counted only for the first article. Zero testing of algebraic functions R Zippel Information processing letters 61 2, Journal of Symbolic Computation 1 2, The University of Melbourne. On the security of the Merkle-Hellman cryptographic scheme Corresp.
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Richard Zippel – Google Scholar Citations
The eight papers in the book fall into three groups. In addition, both deterministic and probabilistic algorithms for irreducibility testing of polynomials are discussed. Those cases where polyhomial optimal algorithms are inappropriate are discussed and the practical alternatives are explained.
Popular passages Page – Frontiers in Applied Mathematics. The University of Queensland.
Physical Description xi, p. One of the parallel computing substrates is also used to implement a real root isolation technique. Interpolating polynomials from their values R Zippel Journal of Symbolic Computation 9 3, These results are either used in later algorithms e.
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