Design and analysis of algorithms: a contemporary perspective

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and g...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteilige Person: Sen, Sandeep
Weitere beteiligte Personen: Kumar, Amit 1976-
Format: E-Book
Sprache:Englisch
Veröffentlicht: Cambridge Cambridge University Press 2019
Links:https://doi.org/10.1017/9781108654937
Zusammenfassung:The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.
Umfang:1 Online-Ressource (xxvi, 367 Seiten)
ISBN:9781108654937