Reducing Randomness via Irrational Numbers

dc.creatorChen, Zhi-Zhong
dc.creatorKao, Ming-Yang
dc.date1999-07-07
dc.date2000-11-15
dc.date.accessioned2026-07-07T03:24:13Z
dc.date.available2026-07-07T03:24:13Z
dc.descriptionWe propose a general methodology for testing whether a given polynomial with integer coefficients is identically zero. The methodology evaluates the polynomial at efficiently computable approximations of suitable irrational points. In contrast to the classical technique of DeMillo, Lipton, Schwartz, and Zippel, this methodology can decrease the error probability by increasing the precision of the approximations instead of using more random bits. Consequently, randomized algorithms that use the classical technique can generally be improved using the new methodology. To demonstrate the methodology, we discuss two nontrivial applications. The first is to decide whether a graph has a perfect matching in parallel. Our new NC algorithm uses fewer random bits while doing less work than the previously best NC algorithm by Chari, Rohatgi, and Srinivasan. The second application is to test the equality of two multisets of integers. Our new algorithm improves upon the previously best algorithms by Blum and Kannan and can speed up their checking algorithm for sorting programs on a large range of inputs.
dc.identifierhttps://arxiv.org/abs/cs/9907011
dc.identifierhttp://arxiv.org/abs/cs/9907011
dc.identifierSIAM Journal on Computing, 29(4):1247--1256, 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33239
dc.subjectData Structures and Algorithms
dc.subjectDiscrete Mathematics
dc.subjectF.0; F.1.2; F.2.2; F.2.3; G2; G3
dc.titleReducing Randomness via Irrational Numbers
dc.typetext

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