東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Random numbers and computers

Kneusel, Ronald T.

Linked to FindBook

Google Book

Amazon

博客來

Random numbers and computers

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
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:

672988
Random number generators.

LC Class. No.: QA76.5

Dewey Class. No.: 004.0151

Random numbers and computers
LDR:02060nmm a2200313 a 4500 001 2136528
003 DE-He213
005 20180406142339.0
006 m d
007 cr nn 008maaau
008 181117s2018 gw s 0 eng d
020 $a 9783319776972 $q (electronic bk.)
020 $a 9783319776965 $q (paper)
024 7 $a 10.1007/978-3-319-77697-2 $2 doi
035 $a 978-3-319-77697-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.5
072 7 $a UYA $2 bicssc
072 7 $a COM051300 $2 bisacsh
082 0 4 $a 004.0151 $2 23
090 $a QA76.5 $b .K68 2018
100 1 $a Kneusel, Ronald T. $3 2145339
245 1 0 $a Random numbers and computers $h [electronic resource] / $c by Ronald T. Kneusel.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvi, 260 p. : $b ill. (some col.), digital ; $c 24 cm.
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 Random number generators. $3 672988
650 0 $a Random number generators $x Mathematics. $3 3307979
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Numeric Computing. $3 892606
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Algorithms. $3 536374
650 2 4 $a Data Encryption. $3 891254
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-77697-2
950 $a Computer Science (Springer-11645)