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  Computing Real Roots of Real Polynomials

Sagraloff, M., & Mehlhorn, K. (2013). Computing Real Roots of Real Polynomials. Retrieved from http://arxiv.org/abs/1308.4088.

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Genre: Paper
Other : Computing Real Roots of Real Polynomials -- An Efficient Method Based on Descartes' Rule of Signs and Newton Iteration

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1308.4088v2 (Preprint), 795KB
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1308.4088v2
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 Creators:
Sagraloff, Michael1, Author           
Mehlhorn, Kurt1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Free keywords: Computer Science, Symbolic Computation, cs.SC,Computer Science, Numerical Analysis, cs.NA,Mathematics, Numerical Analysis, math.NA
 Abstract: Computing the real roots of a polynomial is a fundamental problem of computational algebra. We describe a variant of the Descartes method that isolates the real roots of any real square-free polynomial given through coefficient oracles. A coefficient oracle provides arbitrarily good approximations of the coefficients. The bit complexity of the algorithm matches the complexity of the best algorithm known, and the algorithm is simpler than this algorithm. The algorithm derives its speed from the combination of Descartes method with Newton iteration. Our algorithm can also be used to further refine the isolating intervals to an arbitrary small size. The complexity of root refinement is nearly optimal.

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Language(s): eng - English
 Dates: 2013-08-192013
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1308.4088
URI: http://arxiv.org/abs/1308.4088
BibTex Citekey: DBLP:journals/corr/SagraloffM13
 Degree: -

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