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dc.contributor.authorZippel, Richarden_US
dc.date.accessioned2007-04-23T17:41:25Z
dc.date.available2007-04-23T17:41:25Z
dc.date.issued1989-01en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR89-963en_US
dc.identifier.urihttps://hdl.handle.net/1813/6879
dc.description.abstractA fundamental technique used by many algorithms in computer algebra is interpolating polynomials from their values. This paper discusses two algorithms for solving this problem for sparse multivariate polynomials, an updated version of a probabilistic one and a new deterministic technique that uses some ideas due to Ben-Or and Tiwari (1988). In addition, algorithms are presented for quickly finding points that are not zeroes of sparse multivariate polynomials - the zero avoidance problem.en_US
dc.format.extent2810064 bytes
dc.format.extent611578 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleInterpolating Polynomials from Their Valuesen_US
dc.typetechnical reporten_US


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