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Can I read Probabilistic Analysis of Block Wiedemann for Leading Invariant Factors on EtoBox?
Probabilistic Analysis of Block Wiedemann for Leading Invariant Factors by Gavin Harrison; Jeremy Johnson; B. David Saunders is a Computer Science article available to read on EtoBox.
What is Probabilistic Analysis of Block Wiedemann for Leading Invariant Factors about?
The exact probability, dependent on the matrix structure, is given that the block Wiedemann algorithm correctly computes the leading invariant factors of a matrix. A tight lower bound, structure independent, is derived.
Who reads Probabilistic Analysis of Block Wiedemann for Leading Invariant Factors?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Gavin Harrison; Jeremy Johnson; B. David Saunders
- Publisher
- ACM
- Published
- 2017
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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