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Rank Of Sparse Matrices.pdf

sparseeliminationCASC2002.pdf
Preview of Rank of Sparse Matrices
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📊 Size: 294 KB
📄 Pages: 15 pages
⬇️ Downloads: 280

Summary

Computing the rank of large sparse matrices over finite fields is achieved through efficient exact computations, comparing deterministic Gaussian elimination with reordering heuristics to the probabilistic Wiedemann algorithm, which is proven to be the fastest iterative variant for computing the minimal polynomial or rank of a sparse matrix.

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Description

Computing the rank of large sparse matrices over finite fields is achieved through efficient exact computations, comparing deterministic Gaussian elimination...

Technical Information

  • File Format: PDF
  • File Size: 294 KB
  • Pages: 15
  • Language: EN
  • Total Downloads: 280
  • Last Updated: 4 hours ago

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This PDF document about Rank of Sparse Matrices provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Rank of Sparse Matrices.

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