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Algorithms and Data Structures = Fou...
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Algorithms and Data Structures = Foundations and Probabilistic Methods for Design and Analysis /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Algorithms and Data Structures/ by Helmut Knebl.
Reminder of title:
Foundations and Probabilistic Methods for Design and Analysis /
Author:
Knebl, Helmut.
Description:
XI, 349 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Algorithms. -
Online resource:
https://doi.org/10.1007/978-3-030-59758-0
ISBN:
9783030597580
Algorithms and Data Structures = Foundations and Probabilistic Methods for Design and Analysis /
Knebl, Helmut.
Algorithms and Data Structures
Foundations and Probabilistic Methods for Design and Analysis /[electronic resource] :by Helmut Knebl. - 1st ed. 2020. - XI, 349 p.online resource.
Introduction -- Sorting and Searching -- Hashing -- Trees -- Graphs -- Weighted Graphs -- App. A, Probabilities -- App. B, Mathematical Terminology and Useful Formulas -- References -- Symbols -- Index.
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.
ISBN: 9783030597580
Standard No.: 10.1007/978-3-030-59758-0doiSubjects--Topical Terms:
527865
Algorithms.
LC Class. No.: QA76.9.A43
Dewey Class. No.: 005.1
Algorithms and Data Structures = Foundations and Probabilistic Methods for Design and Analysis /
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Introduction -- Sorting and Searching -- Hashing -- Trees -- Graphs -- Weighted Graphs -- App. A, Probabilities -- App. B, Mathematical Terminology and Useful Formulas -- References -- Symbols -- Index.
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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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