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Random numbers and computers
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SpringerLink (Online service)
Random numbers and computers
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Random numbers and computers/ by Ronald T. Kneusel.
Author:
Kneusel, Ronald T.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xvi, 260 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Random number generators. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-77697-2
ISBN:
9783319776972
Random numbers and computers
Kneusel, Ronald T.
Random numbers and computers
[electronic resource] /by Ronald T. Kneusel. - Cham :Springer International Publishing :2018. - xvi, 260 p. :ill. (some col.), digital ;24 cm.
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.
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.
ISBN: 9783319776972
Standard No.: 10.1007/978-3-319-77697-2doiSubjects--Topical Terms:
893516
Random number generators.
LC Class. No.: QA76.5
Dewey Class. No.: 004.0151
Random numbers and computers
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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.
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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.
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Computer Science (Springer-11645)
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