By Andrew V. Goldberg (auth.), Jeffrey S. Vitter, Christos D. Zaroliagis (eds.)
This publication constitutes the refereed lawsuits of the 3rd overseas Workshop on set of rules Engineering, WAE'99, held in London, united kingdom in July 1999.
The 24 revised complete papers offered have been rigorously reviewed and chosen from a complete of forty six submissions. The papers current unique study leads to all points of set of rules engineering together with implementation, experimental checking out, fine-tuning of discrete algorithms, improvement of repositories of software program, methodological matters equivalent to criteria for empirical examine on algorithms and knowledge buildings, and matters within the means of changing person necessities into effective algorithmic recommendations and implementations.
Read Online or Download Algorithm Engineering: 3rd International Workshop, WAE’99 London, UK, July 19–21, 1999 Proceedings PDF
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Extra resources for Algorithm Engineering: 3rd International Workshop, WAE’99 London, UK, July 19–21, 1999 Proceedings
Landau, B. Schieber, and U. Vishkin. Parallel Construction of a Suffix Tree with Applications. Algorithmica, 3:347–365, 1988. 4. H. E. L. Rivest. Introduction to Algorithms. MIT Press, Cambridge, MA, 1990. 5. M. Farach. Optimal Suffix Tree Construction with Large Alphabets. In Proc. of the 38th Annual Symposium on the Foundations of Computer Science (FOCS), 1997. 6. R. Giegerich and S. Kurtz. A Comparison of Imperative and Purely Functional Suffix Tree Constructions. Science of Computer Programming, 25(2-3):187–218, 1995.
0 20000 40000 60000 80000 Number of paths 100000 (d) n = 5000, m = 20000, d = 4. Fig. 2. Experimental results for graphs generated with Martins’ general instances generator. CPU time as a function of the number of computed paths. (a) is an enlargement of the initial region of (b) to appreciate more clearly the differences between the algorithms for small values of K. M. Jim´enez, A. 3 4000 6000 Number of paths 8000 10000 (b) S = 1000, η = 100, d = 10. CPU time (in seconds) CPU time (in seconds) (a) S = 1000, η = 100, d = 10.
We can also deduce that wotdeager performs pattern searches faster than mcch, and 40 R. Giegerich, S. Kurtz, J. Stoye much faster than mccl. This can be explained as follows: searching for patterns means that for each branching node the list of successors is traversed, to find a particular edge. However, in our suffix tree representation, the successors are found in consecutive positions of table T . This means a small number of cache misses, and hence the good performance. It is remarkable that wotdlazy is more space efficient and eight times faster than mamy.
Algorithm Engineering: 3rd International Workshop, WAE’99 London, UK, July 19–21, 1999 Proceedings by Andrew V. Goldberg (auth.), Jeffrey S. Vitter, Christos D. Zaroliagis (eds.)