| Space-efficient evaluation of hypergeometric series |
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ACM SIGSAM Bulletin
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Volume 39 , Issue 2 (June 2005)
table of contents
COLUMN: Formally reviewed articles
table of contents
Pages: 41 - 52
Year of Publication: 2005
ISSN:0163-5824
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Authors
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Howard Cheng
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University of Lethbridge, Lethbridge, Alberta, Canada
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Barry Gergel
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University of Lethbridge, Lethbridge, Alberta, Canada
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Ethan Kim
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University of Lethbridge, Lethbridge, Alberta, Canada
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Eugene Zima
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Wilfrid Laurier University, Waterloo, Ontario, Canada
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| Bibliometrics |
Downloads (6 Weeks): 1, Downloads (12 Months): 22, Citation Count: 1
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ABSTRACT
Many important constants, such as e and Apéry's constant ζ(3), can be approximated by a truncated hypergeometric series. The evaluation of such series to high precision has traditionally been done by binary splitting followed by fixed-point division. However, the numerator and the denominator computed by binary splitting usually contain a very large common factor. In this paper, we apply standard computer algebra techniques including modular computation and rational reconstruction to overcome the shortcomings of the binary splitting method. The space complexity of our algorithm is the same as a bound on the size of the reduced numerator and denominator of the series approximation. Moreover, if the predicted bound is small, the time complexity is better than the standard binary splitting approach. Our approach allows a series to be evaluated to a higher precision without additional memory. We show that when our algorithm is applied to compute ζ(3), the memory requirement is significantly reduced compared to the binary splitting approach.
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.
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CITED BY
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Howard Cheng , Guillaume Hanrot , Emmanuel Thomé , Paul Zimmermann , Eugene Zima, Time-and space-efficient evaluation of some hypergeometric constants, Proceedings of the 2007 international symposium on Symbolic and algebraic computation, July 29-August 01, 2007, Waterloo, Ontario, Canada
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