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ABSTRACT
We study the problem of bounding a polynomial away from polynomials which are absolutely irreducible. Such separation bounds are useful for testing whether a numerical polynomial is absolutely irreducible, given a certain tolerance on its coefficients. Using an absolute irreducibility criterion due to Ruppert, we are able to find useful separation bounds, in several norms, for bivariate polynomials. We also use Ruppert's criterion to derive new, more effective Noether forms for polynomials of arbitrarily many variables. These forms lead to small separation bounds for polynomials of arbitrarily many variables.
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CITED BY 12
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Shuhong Gao , Erich Kaltofen , John May , Zhengfeng Yang , Lihong Zhi, Approximate factorization of multivariate polynomials via differential equations, Proceedings of the 2004 international symposium on Symbolic and algebraic computation, p.167-174, July 04-07, 2004, Santander, Spain
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Erich Kaltofen , Bin Li , Kartik Sivaramakrishnan , Zhengfeng Yang , Lihong Zhi, Lower bounds for approximate factorizations via semidefinite programming: (extended abstract), Proceedings of the 2007 international workshop on Symbolic-numeric computation, July 25-27, 2007, London, Ontario, Canada
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