Handbook data structures applications (6 Ergebnisse)
- Softcover
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Zustand: New. Dinesh P. Mehta has been on the faculty of the Colorado School of Mines since 2000, where he is currently professor in the Department of Computer Science. He earned degrees (all in computer science) from the Indian Institute of Technolog.
- Softcover
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Paperback. Zustand: Brand New. 2nd new edition. 1120 pages. 10.98x8.50x2.44 inches. In Stock.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware - The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as o…ther areas of computer science, the book aims to update those areas that have seen advances.Retaining the seven-part structure of the first edition, the handbook 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. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition.The Handbook is invaluable for 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.
Handbook of Data Structures and Applications
Mehta, Dinesh P.|Sahni, Sartaj (University of Florida, Gainesville, USA)
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 261,97
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Gebunden. Zustand: New. Dinesh P. Mehta has been on the faculty of the Colorado School of Mines since 2000, where he is currently professor in the Department of Computer Science. He earned degrees (all in computer science) from the Indian Institute of Technolog.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 317,94
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Hardcover. Zustand: Brand New. 2nd revised edition. 1552 pages. 11.25x8.75x2.75 inches. In Stock.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 328,14
EUR 75,05 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Neuware - The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other ar…eas of computer science, the book aims to update those areas that have seen advances.Retaining the seven-part structure of the first edition, the handbook 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.Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition.The Handbook is invaluable for 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.
