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ACM SIGSAM Bulletin
Abs tract Symbolic numeric algorithms for polynomials (He very important, especially for practicul COIllputations since we have to operate with empirical polynomials having numel"ical errors on t heir coefficients. Recently, for those polynomials, lots of a lgorithms have been in troduced, approximate univariate ceo and approximate lIIultivariate factorizat io n for example. However, for polynomials over integers having ooefiicicnts rounded from empir ical data, changing their coefficients overdoi:10.1145/1504347.1504351 fatcat:elgsflaiwffahnlbukcuooifve