This graduate-level text explains the implementation and analysis of data structures as a specialised topic in applied algorithms. It examines efficient ways to realise query operations and the history of various structures as they are related to basic concepts of data storage.
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Peter Brass received a Ph.D. in mathematics at the Technical University of Braunschweig, Germany. He is an associate professor at City College, City University of New York in the Department of Computer Science and a former Heisenberg Research Fellow at Freie Universität Berlin.
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
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Librería: Anybook.com, Lincoln, Reino Unido
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. Hardcover. This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text. This graduate-level text explains the implementation and analysis of data structures as a specialised topic in applied algorithms. It examines efficient ways to realise query operations and the history of various structures as they are related to basic concepts of data storage. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521880374
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