000 | nam a22 7a 4500 | ||
---|---|---|---|
999 |
_c29289 _d29289 |
||
008 | 190220b xxu||||| |||| 00| 0 eng d | ||
020 |
_a9783319776965 _c(hbk) |
||
082 |
_a518 _bKNE |
||
100 | _aKneusel, Ronald T. | ||
245 | _aRandom numbers and computers | ||
260 |
_aCham : _bSpringer International Publishing, _c2018 |
||
300 |
_axv, 259 p. : _bill. ; _c24 cm. |
||
365 |
_aEURO _b56.99 _d00 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aThis 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 | _aRandom number generators | ||
650 | _aComputers | ||
650 | _aMathematical & statistical software | ||
650 | _aCoding theory & cryptology | ||
650 | _aMaths for computer scientists | ||
650 | _aElectronic data processing | ||
650 | _aComputer software | ||
650 | _aMathematical theory of computation | ||
650 | _aAlgorithms | ||
650 | _aData encryption | ||
650 | _aMathematical statistics | ||
650 | _aRandom number generators | ||
942 |
_2ddc _cBK |