With an emphasis on data structures and algorithm analysis, this book includes programming examples in C++. The author concentrates on the principles required to select or design a data structure that will most effectively solve a problem.* Provides an understanding of fundamental data structures through clear explanations, illustrations, and case studies. * Uses actual Java code for nearly all algorithms. * Presents basic analysis terminology early in the text and analysis techniques throughout. The techniques provided assume a range of instructional levels so that they may be used by students with varying backgrounds in the subject. * Provides integrated treatment of both in-memory and disk- based algorithm techniques to allow students to see how these techniques are related, and the key differences between them. * Supports the concept that algorithm analysis is practical and helps in the design of real programs by presenting data structure costs and benefits. * Includes exercises as well as many suggestions for projects to provide students with hands-on experience. * Presents several new data structures, including skip lists, multidimensional search trees, and amortized analysis are discussed. * Provides a chapter on the limits of computation: a brief introduction to computability and NP-completeness to permit an easy-to-understand introduction to these topics.
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With an emphasis on data structures and algorithm analysis, this book includes programming examples in C++. The author concentrates on the principles required to select or design a data structure that will most effectively solve a problem.* Provides an understanding of fundamental data structures through clear explanations, illustrations, and case studies. * Uses actual Java code for nearly all algorithms. * Presents basic analysis terminology early in the text and analysis techniques throughout. The techniques provided assume a range of instructional levels so that they may be used by students with varying backgrounds in the subject. * Provides integrated treatment of both in-memory and disk- based algorithm techniques to allow students to see how these techniques are related, and the key differences between them. * Supports the concept that algorithm analysis is practical and helps in the design of real programs by presenting data structure costs and benefits. * Includes exercises as well as many suggestions for projects to provide students with hands-on experience. * Presents several new data structures, including skip lists, multidimensional search trees, and amortized analysis are discussed. * Provides a chapter on the limits of computation: a brief introduction to computability and NP-completeness to permit an easy-to-understand introduction to these topics.
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Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2. Artikel-Nr. G0136609112I4N00
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Hardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR001990074
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Zustand: Good. Good condition. Java edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included. Artikel-Nr. P14R-00767
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Anbieter: Librería Cajón Desastre, Ponferrada, Spanien
Hardcover. Ref. F102018. 18x24. 488 pág. Texto en inglés. Matemáticas. 8-A spanish. Artikel-Nr. 102018
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