Handbook of Data Structures and Applications

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He has also received graduate teaching awards at Mines in , , and He was assistant department head from to and interim department head from to in the former Department of Mathematical and Computer Sciences and served as president of the Mines Faculty Senate in His current research interests are in cheminformatics, computational materials, and big graph analytics.

Handbook of Data Structures and Applications

Sartaj Sahni is a distinguished professor of computer and information sciences and engineering at the University of Florida. Sahni has published over research papers and written 15 books. His research publications are on the design and analysis of efficient algorithms, parallel computing, interconnection networks, design automation, and medical algorithms. Sahni is the editor-in-chief of the ACM Computing Surveys, a managing editor of the International Journal of Foundations of Computer Science, and a member of the editorial boards of 17 other journals.

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He is a past coeditor-in-chief of the Journal of Parallel and Distributed Computing. He has served as program committee chair, general chair, and a keynote speaker at many conferences. Subscribe now to be the first to hear about specials and upcoming releases. Title Author. Handbook of Data Structures and Applications.

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Enlarge cover. Error rating book. Refresh and try again. Open Preview See a Problem? Details if other :. Thanks for telling us about the problem. Return to Book Page. Mehta Editor. Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature.

The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data s Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature. The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data structures by providing a comprehensive survey of data structures of various types.

Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs.

It concludes with an examination of the applications of data structures. The Handbook is invaluable in suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.


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Dobbs Journal , August Trie memory. Linear pattern-matching algorithms. A space-economical suffix tree construction algorithm. Constructing suffix trees on-line in linear time. In Intern. Manber and G. Suffix arrays: A new method for on—line string searches. Computing , pages —, D Kim, J. Sim, H. Park, and K. Linear-time construction of suffix arrays. Ko and S. Space-efficient linear time construction of suffix arrays,.

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    MIT Press, Eppstein, Z. Galil, G. Italiano, and A. Sparsification: A technique for speeding up dynamic graph algorithms. Alberts, G. Cattaneo, and G. An empirical study of dynamic graph algorithms. Implementations and experimental studies of dynamic graph algorithms. In Experimental algorithmics: from algorithm design to robust and efficient software , pages — Combinatorial Algorithms for Integrated Circuit Layout. Wiley, Chichester, England, Hierarchical planarity testing algorithms.

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