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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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/1145768.1145785]
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B. David Saunders, Arne Storjohann, and Gilles Villard (2004). Matrix Rank Certification. Elect. J. Linear Algebra, 11:16--23.
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CITED BY 2
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Jean-Guillaume Dumas , Philippe Elbaz-Vincent , Pascal Giorgi , Anna Urbánska, Parallel computation of the rank of large sparse matrices from algebraic K-theory, Proceedings of the 2007 international workshop on Parallel symbolic computation, July 27-28, 2007, London, Ontario, Canada
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