Random Numbers and Computers

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Kneusel, Ronald T. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Random Numbers and Computers  |h [electronic resource] /  |c by Ronald T. Kneusel. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XVI, 260 p. 42 illus., 27 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a 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. . 
520 |a 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. . 
650 0 |a Numerical analysis. 
650 0 |a Algorithms. 
650 0 |a Data encryption (Computer science). 
650 0 |a Mathematical statistics. 
650 1 4 |a Numeric Computing.  |0 http://scigraph.springernature.com/things/product-market-codes/I1701X 
650 2 4 |a Algorithm Analysis and Problem Complexity.  |0 http://scigraph.springernature.com/things/product-market-codes/I16021 
650 2 4 |a Algorithms.  |0 http://scigraph.springernature.com/things/product-market-codes/M14018 
650 2 4 |a Cryptology.  |0 http://scigraph.springernature.com/things/product-market-codes/I28020 
650 2 4 |a Probability and Statistics in Computer Science.  |0 http://scigraph.springernature.com/things/product-market-codes/I17036 
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950 |a Computer Science (Springer-11645)