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  5. On the Probabilistic Analysis of Normal Form Computation of a Sparse Matrix

On the Probabilistic Analysis of Normal Form Computation of a Sparse Matrix

File(s)
90-1180.pdf (2.11 MB)
90-1180.ps (488.62 KB)
Permanent Link(s)
https://hdl.handle.net/1813/7020
Collections
Computer Science Technical Reports
Author
Donald, Bruce Randall
Chang, David Renpan
Abstract

An $(s, t)$-sparse matrix has $s$ non-zero entries per column and $t$ per row. $(s, t)$-sparse integer matrices arise in the computation of integral homology. In this paper, a probabilistic analysis is given for diagonalizing an integer $(s, t)$-sparse matrix into normal formal. By normal form of a matrix, we mean the diagonalization of the matrix over the ring of integers. We prove that under high probability the expected running time can be achieved with probability very close $(s, t)$-sparse matrix, i.e. this expected running time can be achieved with probability very close to 1 when $(s, t)\ll n$.

Date Issued
1990-12
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR90-1180
Type
technical report

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