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Algorithms and data structures = fou...

Knebl, Helmut.

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Algorithms and data structures = foundations and probabilistic methods for design and analysis /

Record Type:	Electronic resources : 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.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 349 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Sorting and Searching -- Hashing -- Trees -- Graphs -- Weighted Graphs -- App. A, Probabilities -- App. B, Mathematical Terminology and Useful Formulas -- References -- Symbols -- Index.
Contained By:	Springer Nature eBook
Subject:	Computer 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 structuresfoundations and probabilistic methods for design and analysis /[electronic resource] :by Helmut Knebl. - Cham :Springer International Publishing :2020. - xi, 349 p. :ill., digital ;24 cm.

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:

523872
Computer algorithms.

LC Class. No.: QA76.9.A43 / K54 2020

Dewey Class. No.: 005.1

Algorithms and data structures = foundations and probabilistic methods for design and analysis /
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245 1 0 $a Algorithms and data structures $h [electronic resource] : $b foundations and probabilistic methods for design and analysis / $c by Helmut Knebl.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 349 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Sorting and Searching -- Hashing -- Trees -- Graphs -- Weighted Graphs -- App. A, Probabilities -- App. B, Mathematical Terminology and Useful Formulas -- References -- Symbols -- Index.
520 $a 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.
650 0 $a Computer algorithms. $3 523872
650 1 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Algorithms. $3 536374
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