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The approximate irreducible factorization of a univariate polynomial: revisited

Published: 28 July 2009 Publication History

Abstract

When multiple roots are present, factoring a univariate polynomial is an ill-posed problem in the sense that it is highly sensitive to data perturbations and the round-off error. In ISSAC '03, the author introduced an algorithm that is capable of calculating the polynomial roots and multiplicities accurately using floating point arithmetic without extending the hardware precision even if the coefficients are perturbed. This paper revisits the problem by establishing a rigorous theoretical framework for eliminating the ill-posedness and by introducing a redesigned algorithm. The new algorithm avoids error accumulation in the GCD computation and substantially improves the accuracy and robustness.

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Cited By

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  • (2023)A Newton’s iteration converges quadratically to nonisolated solutions tooMathematics of Computation10.1090/mcom/365792:344(2795-2824)Online publication date: 15-Jun-2023
  • (2009)Regularization and Matrix Computation in Numerical Polynomial AlgebraApproximate Commutative Algebra10.1007/978-3-211-99314-9_5(125-162)Online publication date: 21-Aug-2009

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  1. The approximate irreducible factorization of a univariate polynomial: revisited

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      cover image ACM Conferences
      ISSAC '09: Proceedings of the 2009 international symposium on Symbolic and algebraic computation
      July 2009
      402 pages
      ISBN:9781605586090
      DOI:10.1145/1576702
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      Published: 28 July 2009

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      Author Tags

      1. ill-posed problems
      2. multiplicity
      3. polynomial factoring

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      View all
      • (2023)A Newton’s iteration converges quadratically to nonisolated solutions tooMathematics of Computation10.1090/mcom/365792:344(2795-2824)Online publication date: 15-Jun-2023
      • (2009)Regularization and Matrix Computation in Numerical Polynomial AlgebraApproximate Commutative Algebra10.1007/978-3-211-99314-9_5(125-162)Online publication date: 21-Aug-2009

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