A block Wiedemann rank algorithm

  • Authors:
  • William J. Turner

  • Affiliations:
  • Wabash College, Crawfordsville, IN

  • Venue:
  • Proceedings of the 2006 international symposium on Symbolic and algebraic computation
  • Year:
  • 2006

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Abstract

This paper makes two contributions to block Wiedemann algorithms. We describe how to compute the minimal generating matrix polynomial using Beckermann and Labahn's Fast Power Hermite-Padé Solver, and we develop a block Monte Carlo method to compute rank of a black box matrix over a large field by extending the Kaltofen-Saunders black box matrix rank algorithm.