語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Random numbers and computers
~
SpringerLink (Online service)
Random numbers and computers
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Random numbers and computers/ by Ronald T. Kneusel.
作者:
Kneusel, Ronald T.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xvi, 260 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Random number generators. -
電子資源:
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
LDR
:02060nam a2200313 a 4500
001
924675
003
DE-He213
005
20180406142339.0
006
m d
007
cr nn 008maaau
008
190625s2018 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
1167057
245
1 0
$a
Random numbers and computers
$h
[electronic resource] /
$c
by Ronald T. Kneusel.
260
$a
Cham :
$c
2018.
$b
Springer International Publishing :
$b
Imprint: Springer,
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
893516
650
0
$a
Random number generators
$x
Mathematics.
$3
1201855
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Numeric Computing.
$3
669943
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
593923
650
2 4
$a
Algorithms.
$3
527865
650
2 4
$a
Data Encryption.
$3
669790
650
2 4
$a
Probability and Statistics in Computer Science.
$3
669886
710
2
$a
SpringerLink (Online service)
$3
593884
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)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入