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Set and String Problems

  • Steven S. Skiena

Abstract

Sets and strings both represent collections of objects—the difference is whether order matters.Sets are collections of symbols whose order is assumed to carry no significance, while strings are defined by the sequence or arrangement of symbols.

The assumption of a fixed order makes it possible to solve string problems much more efficiently than set problems, through techniques such as dynamic programming and advanced data structures like suffix trees. The interest in and importance of string-processing algorithms have been increasing due to bioinformatics, Web searches, and other text-processing applications.

Keywords

Regular Expression Vertex Cover Edit Distance Advance Encryption Standard Greedy Heuristic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibliography

  1. [CHL07]
    M. Crochemore, C. Hancart, and T. Lecroq. Algorithms on Strings. Cambridge University Press, 2007.Google Scholar
  2. [CR03]
    M. Crochemore and W. Rytter. Jewels of Stringology. World Scientific, 2003.Google Scholar
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    D. Gusfield. Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. Cambridge University Press, 1997.Google Scholar
  4. [NR07]
    G. Navarro and M. Raffinot. Flexible Pattern Matching in Strings: Practical On-Line Search Algorithms for Texts and Biological Sequences. Cambridge University Press, 2007.Google Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceState University of New York at Stony BrookNew YorkUSA

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