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001 978-3-319-77697-2
003 DE-He213
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008 180405s2018 gw | s |||| 0|eng d
020 _a9783319776972
_9978-3-319-77697-2
050 4 _aQA297-299.4
072 7 _aUYA
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a518
_223
100 1 _aKneusel, Ronald T.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aRandom Numbers and Computers
_h[electronic resource] /
_cby Ronald T. Kneusel.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVI, 260 p. 42 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _a1 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 _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. .
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aNumerical analysis.
650 0 _aAlgorithms.
650 0 _aData encryption (Computer science).
650 0 _aMathematical statistics.
650 1 4 _aNumeric Computing.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I1701X
650 2 4 _aAlgorithm Analysis and Problem Complexity.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16021
650 2 4 _aAlgorithms.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M14018
650 2 4 _aCryptology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I28020
650 2 4 _aProbability and Statistics in Computer Science.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I17036
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319776965
776 0 8 _iPrinted edition:
_z9783319776989
776 0 8 _iPrinted edition:
_z9783030085162
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-77697-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
999 _c242837
_d242836