ACM Home Page
Please provide us with feedback. Feedback
A block Wiedemann rank algorithm
Full text PdfPdf (242 KB)
Source International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2006 international symposium on Symbolic and algebraic computation table of contents
Genoa, Italy
SESSION: Full papers table of contents
Pages: 332 - 339  
Year of Publication: 2006
ISBN:1-59593-276-3
Author
William J. Turner  Wabash College, Crawfordsville, IN
Sponsors
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 42,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1145768.1145822
What is a DOI?

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.

 
1
Bernhard Beckermann and George Labahn (1992). A Uniform Approach for Hermite Padé and Simultaneous Padé Approximants and Their Matrix-Type Generalizations. Numerical Algorithms, 3:451154.
 
2
 
3
Li Chen, Wayne Eberly, Erich Kaltofen, B. David Saunders, William J. Turner, and Gilles Villard (2002). Efficient Matrix Preconditioners for Black Box Linear Algebra. Linear Algebra and its Applications, 343--344:119--146. Special issue on Infinite Systems of Linear Equations Finitely Specified, edited by P. Dewilde, V. Olshevsky and A. H. Sayed.
 
4
 
5
J.-G. Dumas, T. Gautier, M. Giesbrecht, P. Giorgi, B. Hovinen, E. Kaltofen, B. D. Saunders, W. J. Turner, and G. Villard (2002). LinBox: A Generic Library for Exact Linear Algebra. In Arjeh M. Cohen, Xiao-Shan Gao, and Nobuki Takayama, editors, Proceedings of the 2006 International Congress of Mathematical Software. World Scientific.
6
7
 
8
9
 
10
11
 
12
 
13
Erich Kaltofen and Gilles Villard (2001). On the Complexity of Computing Determinants (Extended abstract). In Kiyoshi Shirayanagi and Kazuhiro Yokoyama, editors, Proceedings of the Fifth Asian Symposium on Computer Mathematics (ASCM 2001), volume 9 of Lecture Notes Series on Computing, pages 13--27. World Scientific. Invited contribution.
 
14
 
15
V. M. Popov (1970). Some Properties of Control Systems with Irreducible Matrix Transfer Functions. In J. A. Yorke, editor, Seminar on Differential Equations and Dynamical Systems, II, volume 144 of Lecture Notes in Computer Science, pages 169--180. Springer Verlag.
 
16
B. David Saunders, Arne Storjohann, and Gilles Villard (2004). Matrix Rank Certification. Elect. J. Linear Algebra, 11:16--23.
17
 
18
 
19
William J. Turner (2003). Determinantal Divisors and Matrix Preconditioners. Submitted to Journal of Symbolic Computation.
 
20
Marc Van Barel and Adhemar Bultheel (1991). The Computation of Non-Perfect Padé-Hermite Approximants. Numerical Algorithms, 1:285--304.
21
 
22
Gilles Villard (1997b). A Study of Coppersmith's Block Wiedemann Algorithm using Matrix Polynomials. Rapport de Recherche 975 IM, Institut d'Informatique et de Mathématiques Appliquées de Grenoble.
 
23
 
24
 
25
 
26