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Titlebook: Uniform Random Numbers; Theory and Practice Shu Tezuka Book 1995 Springer Science+Business Media New York 1995 Random variable.STATISTICA.a

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發(fā)表于 2025-3-21 17:41:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Uniform Random Numbers
副標題Theory and Practice
編輯Shu Tezuka
視頻videohttp://file.papertrans.cn/943/942038/942038.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Uniform Random Numbers; Theory and Practice Shu Tezuka Book 1995 Springer Science+Business Media New York 1995 Random variable.STATISTICA.a
描述In earlier forewords to the books in this series on Discrete Event Dynamic Systems (DEDS), we have dwelt on the pervasive nature of DEDS in our human-made world. From manufacturing plants to computer/communication networks, from traffic systems to command-and-control, modern civilization cannot function without the smooth operation of such systems. Yet mathemat- ical tools for the analysis and synthesis of DEDS are nascent when compared to the well developed machinery of the continuous variable dynamic systems char- acterized by differential equations. The performance evaluation tool of choice for DEDS is discrete event simulation both on account of its generality and its explicit incorporation of randomness. As it is well known to students of simulation, the heart of the random event simulation is the uniform random number generator. Not so well known to the practitioners are the philosophical and mathematical bases of generating "random" number sequence from deterministic algorithms. This editor can still recall his own painful introduction to the issues during the early 80‘s when he attempted to do the first perturbation analysis (PA) experiments on a per- sonal computer which,
出版日期Book 1995
關鍵詞Random variable; STATISTICA; algorithms; random number generation
版次1
doihttps://doi.org/10.1007/978-1-4615-2317-8
isbn_softcover978-1-4613-5980-7
isbn_ebook978-1-4615-2317-8Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1995
The information of publication is updating

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Preliminaries from Number Theory,tion of sequences, all of which constitute a theoretical foundation for the generation of uniform random numbers. Since the main objective of this chapter is to make the monograph self-contained, readers who would like to learn as quickly as possible about particular algorithms for random numbers ca
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Book 1995made world. From manufacturing plants to computer/communication networks, from traffic systems to command-and-control, modern civilization cannot function without the smooth operation of such systems. Yet mathemat- ical tools for the analysis and synthesis of DEDS are nascent when compared to the we
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Introduction,ge-scale’ simulations have made two kinds of estimation feasible: estimation of quantities with large variances, and highly accurate estimation of targeted variables. We now need random numbers, with high quality and long periods, that are portable and can be efficiently generated.
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