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Data Structures

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The Algorithm Design Manual

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Abstract

Data structures are not so much algorithms as they are the fundamental constructs around which you build your application. Becoming fluent in what the standard data structures can do for you is essential to get full value from them.

This puts data structures slightly out of sync with the rest of the catalog. Perhaps the most useful aspect of it will be the pointers to various implementations and data structure libraries. Many of these data structures are nontrivial to implement well, so the programs we point to will be useful as models even if they do not do exactly what you need. Certain fundamental data structures, like kd-trees and suffix trees, are not as well known as they should be. Hopefully, this catalog will serve to better publicize them.

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Authors and Affiliations

  1. Department of Computer Science, State University of New York at Stony Brook, New York, USA

    Steven S. Skiena

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  1. Steven S. Skiena
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Correspondence to Steven S. Skiena .

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Skiena, S.S. (2012). Data Structures. In: The Algorithm Design Manual. Springer, London. https://doi.org/10.1007/978-1-84800-070-4_12

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  • DOI: https://doi.org/10.1007/978-1-84800-070-4_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-069-8

  • Online ISBN: 978-1-84800-070-4

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