語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Random numbers and computers
~
Kneusel, Ronald T.
Random numbers and computers
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Random numbers and computersby 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$q(electronic bk.)
Random numbers and computers
Kneusel, Ronald T.
Random numbers and computers
[electronic resource] /by Ronald T. Kneusel. - Cham :Springer International Publishing :2018. - xvi, 260 p. :ill. (some col.), digital ;24 cm.
1 Random and Pseudorandom Sequences -- 2 Generating Uniform Random Numbers -- 3 Generating Nonuniform Random Numbers -- 4 Testing Pseudorandom Generators -- 5 Parallel Random Number Generators -- 6 Cryptographically Secure Pseudorandom Number Generators -- 7 Other Random Sequences.
This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose. Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader.
ISBN: 9783319776972$q(electronic bk.)
Standard No.: 10.1007/978-3-319-77697-2doiSubjects--Topical Terms:
192288
Random number generators.
LC Class. No.: QA76.5
Dewey Class. No.: 004.0151
Random numbers and computers
LDR
:02060nmm a2200313 a 4500
001
533434
003
DE-He213
005
20180406142339.0
006
m d
007
cr nn 008maaau
008
181205s2018 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
719302
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
192288
650
0
$a
Random number generators
$x
Mathematics.
$3
809119
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Numeric Computing.
$3
275524
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
273702
650
2 4
$a
Algorithms.
$3
184661
650
2 4
$a
Data Encryption.
$3
273765
650
2 4
$a
Probability and Statistics in Computer Science.
$3
274053
710
2
$a
SpringerLink (Online service)
$3
273601
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
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000154024
電子館藏
1圖書
電子書
EB QA76.5 .K68 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-77697-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入