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On the Complexity of Reliable Root Approximation

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Kerber,  Michael
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Kerber, M. (2009). On the Complexity of Reliable Root Approximation. In V. Gerdt, E. Mayr, & E. Vorozhtsov (Eds.), Computer Algebra in Scientific Computing (pp. 155-167). Berlin: Springer. doi:10.1007/978-3-642-04103-7_15.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1899-4
Abstract
This work addresses the problem of computing a certified ε-approximation of all real roots of a square-free integer polynomial. We proof an upper bound for its bit complexity, by analyzing an algorithm that first computes isolating intervals for the roots, and subsequently refines them using Abbott’s Quadratic Interval Refinement method. We exploit the eventual quadratic convergence of the method. The threshold for an interval width with guaranteed quadratic convergence speed is bounded by relating it to well-known algebraic quantities.