Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis - Brossura

Knebl, Helmut

 
9783030597603: Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis
Brossura
ISBN 10: 3030597601 ISBN 13: 9783030597603
Casa editrice: Springer, 2021

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Prof. Dr. Helmut Knebl is a researcher and lecturer in the Faculty of Informatics of the Technische Hochschule Nürnberg Georg Simon Ohm, where he has taught courses on the topic of this book to students of computer science, media, and business informatics at bachelor's and master's levels. He is the coauthor of the successful textbook Introduction to Cryptography, now in its 3rd edition.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3030597601
ISBN 13 
9783030597603
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
364
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9783030597573: Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis

Edizione in evidenza

ISBN 10:  3030597571 ISBN 13:  9783030597573
Casa editrice: Springer-Nature New York Inc, 2020
Rilegato