Published by Springer (edition 1st ed. 2020), 2021
ISBN 10: 3030597601 ISBN 13: 9783030597603
Language: English
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Add to basketPaperback. Condition: As New. 1st ed. 2020. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Add to basketPaperback or Softback. Condition: New. Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis 1.12. Book.
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Published by Springer International Publishing, 2021
ISBN 10: 3030597601 ISBN 13: 9783030597603
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a central topic in any computer science curriculum. To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined were chosen because of their wide field of application.This book originates from lectures for undergraduate and graduate students. The text assumes experience in programming algorithms, especially with elementary data structures such as chained lists, queues, and stacks. It also assumes familiarity with mathematical methods, although the author summarizes some basic notations and results from probability theory and related mathematical terminology in the appendices. He includes many examples to explain the individual steps of the algorithms, and he concludes each chapter with numerous exercises.
Published by Springer International Publishing, 2020
ISBN 10: 3030597571 ISBN 13: 9783030597573
Language: English
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 364 | Sprache: Englisch | Produktart: Bücher.
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Published by Springer International Publishing, 2020
ISBN 10: 3030597571 ISBN 13: 9783030597573
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a central topic in any computer science curriculum. To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined were chosen because of their wide field of application.This book originates from lectures for undergraduate and graduate students. The text assumes experience in programming algorithms, especially with elementary data structures such as chained lists, queues, and stacks. It also assumes familiarity with mathematical methods, although the author summarizes some basic notations and results from probability theory and related mathematical terminology in the appendices. He includes many examples to explain the individual steps of the algorithms, and he concludes each chapter with numerous exercises.
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Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030597571 ISBN 13: 9783030597573
Language: English
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