By Alok Aggarwal, C. Pandu Rangan
This ebook constitutes the refereed court cases of the tenth foreign Symposium on Algorithms and Computation, ISAAC'99, held in Chennai, India, in December 1999.
The forty revised complete papers provided including 4 invited contributions have been conscientiously reviewed and chosen from seventy one submissions. one of the subject matters lined are facts constructions, parallel and allotted computing, approximation algorithms, computational intelligence, on-line algorithms, complexity idea, graph algorithms, computational geometry, and algorithms in perform.
Read or Download Algorithms and Computation: 10th International Symposium, ISAAC’99 Chennai, India, December 16–18, 1999 Proceedings PDF
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Extra resources for Algorithms and Computation: 10th International Symposium, ISAAC’99 Chennai, India, December 16–18, 1999 Proceedings
Thesis, University of Waterloo, 1996. 6. D. R. Clark and J. I. Munro, “Efficient Suffix Trees on Secondary Storage”, Proceedings of the 7th ACM-SIAM Symposium on Discrete Algorithms (1996) 383-391. 7. A. Fiat, M. Noar, J. P. Schmidt and A. Siegel, “Non-oblivious hashing”, Journal of the Association for Computing Machinery, 39(4) (1992) 764-782. 8. M. L. Fredman, J. Koml´ os and E. Szemer´edi, “Storing a sparse table with O(1) access time”, Journal of the Association for Computing Machinery, 31 (1984) 538544.
For arbitrary m, we give a structure that takes the same space and supports all the navigational operations, except finding the child labeled i (for any i), in O(1) time. Finding the child labeled i in this structure takes O(lg lg lg m) time. 1 Introduction and Motivation A static dictionary is a data structure for storing a subset S of a finite universe U so that membership queries can be answered efficiently. This problem has been widely studied and various structures have been proposed to support membership in constant time [8,7,4,12] in slightly different models.
A busy thread that has finished a job becomes idle again. e. the number of parallel jobs, can fluctuate over time very much, but creating and deleting a thread is a costly operation. So we should have enough idle threads ready for future requests. On the other hand, running many threads on the spot over long periods would be a waste of processor cycles which could be better used by other applications residing on the same machine. Hence one has to observe a suitable strategy for deleting idle threads, without knowledge of future jobs.