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A general sequential time-space tradeoff for finding unique elements
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-first annual ACM symposium on Theory of computing table of contents
Seattle, Washington, United States
Pages: 197 - 203  
Year of Publication: 1989
ISBN:0-89791-307-8
Author
P. Beame  Computer Science Department, FR-35, University of Washington, Seattle, Washington
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Citation Count: 3
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ABSTRACT

An optimal &OHgr;(n2) lower bound is shown for the time-space product of any R-way branching program that determines those values which occur exactly once in a list of n integers in the range [1, R] where Rn. This &OHgr;(n2) tradeoff also applies to the sorting problem and thus improves the previous time-space tradeoffs for sorting. Because the R-way branching program is a such a powerful model these time-space product tradeoffs also apply to all models of sequential computation that have a fair measure of space such as off-line multi-tape Turing machines and off-line log-cost RAMs.


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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A. Borodin, M. Fischer, D. Kirkpatrick, N. Lynch, and M. Tompa. A time-space tradeoff for sorting on non-oblivious machines. Journal of Computer and System Sciences, 22(3):351-364, June 1981.
 
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Yao88
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Yes84
Y. ~esha. Time-space tradeoffs for matrix multiplication and the discrete Fourier transform on any general sequential random-access computer. SIAM Journal on Computing, 29:183-197, 1984.