ACM Home Page
Please provide us with feedback. Feedback
Tellegen's principle into practice
Full text PdfPdf (259 KB)
Source International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2003 international symposium on Symbolic and algebraic computation table of contents
Philadelphia, PA, USA
Pages: 37 - 44  
Year of Publication: 2003
ISBN:1-58113-641-2
Authors
A. Bostan  École polytechnique, Palaiseau, France
G. Lecerf
É. Schost  École polytechnique, Palaiseau, France
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): 9,   Downloads (12 Months): 54,   Citation Count: 11
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/10.1145/860854.860870
What is a DOI?

ABSTRACT

The transposition principle, also called Tellegen's principle, is a set of transformation rules for linear programs. Yet, though well known, it is not used systematically, and few practical implementations rely on it. In this article, we propose explicit transposed versions of polynomial multiplication and division but also new faster algorithms for multipoint evaluation, interpolation and their transposes. We report on their implementation in Shoup's NTL C++ library.


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
A. Antoniou. Digital Filters: Analysis and Design. McGraw-Hill Book Co., 1979.
2
 
3
J. L. Bordewijk. Inter-reciprocity applied to electrical networks. Appl. Sci. Res. B., 6:1--74, 1956.
 
4
P. Bürgisser, M. Clausen, and A. Shokrollahi. Algebraic Complexity Theory. Springer, 1997.
5
 
6
C. M. Fiduccia. On obtaining upper bounds on the complexity of matrix multiplication. In Complexity of computer computations (Proc. Sympos., IBM Thomas J. Watson Res. Center, Yorktown Heights, N.Y., 1972), pages 31--40. Plenum, New York, 1972.
 
7
 
8
 
9
G. Hanrot, M. Quercia, and P. Zimmermann. The middle product algorithm, I. Speeding up the division and square root of power series. Technical report, RR INRIA 4664, 2002.
 
10
 
11
J. Hopcroft and J. Musinski. Duality applied to the complexity of matrix multiplication and other bilinear forms. SIAM Journal on Computing, 2:159--173, 1973.
 
12
 
13
 
14
 
15
G. Lecerf and É. Schost. Fast multivariate power series multiplication in characteristic zero. SADIO Electronic Journal on Informatics and Operations Research. To appear, manuscript of December 2002.
 
16
 
17
P. Penfield, Jr., R. Spencer, and S. Duinker. Tellegen's theorem and electrical networks. The M.I.T. Press, Cambridge, Mass.-London, 1970.
 
18
V. Shoup. NTL: A library for doing number theory. http://www.shoup.net.
19
 
20
21
 
22
B. Tellegen. A general network theorem, with applications. Philips Research Reports, 7:259--269, 1952.
 
23

CITED BY  11

Collaborative Colleagues:
A. Bostan: colleagues
G. Lecerf: colleagues
É. Schost: colleagues