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Highly Accurate Verified Error Bounds for Krylov Type Linear System Solvers

  • Axel Facius

Abstract

Preconditioned Krylov subspace solvers are an important and frequently used technique for solving large sparse linear systems. There are many advantageous properties concerning convergence rates and error estimates. However, implementing such a solver on a computer, we often observe an unexpected and even contrary behavior.

Keywords

Krylov Subspace Krylov Subspace Method Finite Precision Correct Digit Multiple Precision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Axel Facius
    • 1
  1. 1.Institut für Angewandte MathematikUniversität Karlsruhe (TH)KarlsruheGermany

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