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Random Numbers and Computers / by Ronald T. Kneusel.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Kneusel, Ronald T., author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Language:
English
Subjects (All):
Numerical analysis.
Algorithms.
Data encryption (Computer science).
Mathematical statistics.
Numeric Computing.
Algorithm Analysis and Problem Complexity.
Cryptology.
Probability and Statistics in Computer Science.
Local Subjects:
Numeric Computing.
Algorithm Analysis and Problem Complexity.
Algorithms.
Cryptology.
Probability and Statistics in Computer Science.
Physical Description:
1 online resource (XVI, 260 pages) : 42 illustrations, 27 illustrations in color
Edition:
First edition 2018.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose. Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader. .
Contents:
1 Random and Pseudorandom Sequences
2 Generating Uniform Random Numbers
3 Generating Nonuniform Random Numbers
4 Testing Pseudorandom Generators
5 Parallel Random Number Generators
6 Cryptographically Secure Pseudorandom Number Generators
7 Other Random Sequences. .
Other Format:
Printed edition:
ISBN:
978-3-319-77697-2
9783319776972
9783319776965
9783319776989
9783030085162
Access Restriction:
Restricted for use by site license.

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