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Techniques for Designing and Analyzing Algorithms
Udgivet af Taylor & Francis Ltd
ISBN
9780367228897
Om denne bog
Techniques for Designing and Analyzing Algorithms Design and analysis of algorithms can be a difficult subject for students due to its sometimes-abstract nature and its use of a wide variety of mathematical tools. Here the author, an experienced and successful textbook writer, makes the subject as straightforward as po…
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Bogdetaljer
Forlag
Taylor & Francis Ltd
Kategori
Algoritmer og datastrukturer
ISBN-13
9780367228897
EAN
9780367228897
Format
Indbundet
Sprog
Engelsk
sider
430
Produktbeskrivelse
Techniques for Designing and Analyzing Algorithms Design and analysis of algorithms can be a difficult subject for students due to its sometimes-abstract nature and its use of a wide variety of mathematical tools. Here the author, an experienced and successful textbook writer, makes the subject as straightforward as possible in an up-to-date textbook incorporating various new developments appropriate for an introductory course.This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented. In addition, the text includes useful introductory material on mathematical background including order notation, algorithm analysis and reductions, and basic data structures. This will serve as a useful review and reference for students who have covered this material in a previous course.FeaturesThe first three chapters provide a mathematical review, basic algorithm analysis, and data structuresDetailed pseudocode descriptions of the algorithms along with illustrative algorithms are included Proofs of correctness of algorithms are included when appropriateThe book presents a suitable amount of mathematical rigorAfter reading and understanding the material in this book, students will be able to apply the basic design principles to various real-world problems that they may encounter in their future professional careers.
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