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Probability Modeling And Computer Simulation


Probability Modeling And Computer Simulation
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Probability Modeling And Computer Simulation


Probability Modeling And Computer Simulation
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Author : Norman S. Matloff
language : en
Publisher: Wadsworth Publishing Company
Release Date : 1988

Probability Modeling And Computer Simulation written by Norman S. Matloff and has been published by Wadsworth Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Mathematics categories.




Probability Models For Computer Science


Probability Models For Computer Science
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Author : Sheldon M. Ross
language : en
Publisher: Taylor & Francis US
Release Date : 2002

Probability Models For Computer Science written by Sheldon M. Ross and has been published by Taylor & Francis US this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.


The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed the premier probability text for aspiring computer scientists involved in computer simulation and modeling. The math is precise and easily understood. As with his other texts, Sheldon Ross presents very clear explanations of concepts and covers those probability models that are most in demand by, and applicable to, computer science and related majors and practitioners. Many interesting examples and exercises have been chosen to illuminate the techniques presented Examples relating to bin packing, sorting algorithms, the find algorithm, random graphs, self-organising list problems, the maximum weighted independent set problem, hashing, probabilistic verification, max SAT problem, queuing networks, distributed workload models, and many othersMany interesting examples and exercises have been chosen to illuminate the techniques presented



Probability And Statistics For Computer Scientists


Probability And Statistics For Computer Scientists
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Author : Michael Baron
language : en
Publisher: CRC Press
Release Date : 2018-11-14

Probability And Statistics For Computer Scientists written by Michael Baron and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-14 with Mathematics categories.


In modern computer science, software engineering, and other fields, the need arises to make decisions under uncertainty. Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions



Essentials Of Monte Carlo Simulation


Essentials Of Monte Carlo Simulation
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Author : Nick T. Thomopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-19

Essentials Of Monte Carlo Simulation written by Nick T. Thomopoulos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-19 with Mathematics categories.


Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.



Computer Simulation


Computer Simulation
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Author : Yahya Esmail Osais
language : en
Publisher: CRC Press
Release Date : 2017-11-28

Computer Simulation written by Yahya Esmail Osais and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-28 with Computers categories.


Computer simulation is an effective and popular universal tool that can be applied to almost all disciplines. Requiring only basic knowledge of programming, mathematics, and probability theory, Computer Simulation: A Foundational Approach Using Python takes a hands-on approach to programming to introduce the fundamentals of computer simulation. The main target of the book is computer science and engineering students who are interested mainly in directly applying the techniques to their research problems. The book will be of great interest to senior undergraduate and starting graduate students in the fields of computer science and engineering and industrial engineering.



Computer Modeling And Simulation


Computer Modeling And Simulation
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Author : Francis F. Martin
language : en
Publisher:
Release Date : 1968

Computer Modeling And Simulation written by Francis F. Martin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Computer simulation categories.


Textbook on the methodology of computer modeling and simulation and the applications thereof to research and analysis - covers mathematical analysis and statistical methods, EDP systems, systems design, programming languages, etc., and includes exercises at the end of each chapter. Bibliography pp. 307 to 326.



Computer Simulation And Modeling


Computer Simulation And Modeling
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Author : Richard S. Lehman
language : en
Publisher:
Release Date : 1977

Computer Simulation And Modeling written by Richard S. Lehman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computers categories.


Introduces logic & methods of computer simulation & modeling for the social & behavioral scientist. Focuses on simulation as a tool for investigation.



Probability Markov Chains Queues And Simulation


Probability Markov Chains Queues And Simulation
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Author : William J. Stewart
language : en
Publisher: Princeton University Press
Release Date : 2009-07-26

Probability Markov Chains Queues And Simulation written by William J. Stewart and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-26 with Computers categories.


Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only). Numerous examples illuminate the mathematical theories Carefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approach Each chapter concludes with an extensive set of exercises



Probability Models For Computer Science


Probability Models For Computer Science
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Author : Melanie H. Ross
language : en
Publisher: Academic Press
Release Date : 2004-06

Probability Models For Computer Science written by Melanie H. Ross and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06 with categories.




Computer Simulation Experiments With Models Of Economic Systems


Computer Simulation Experiments With Models Of Economic Systems
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Author : Thomas H. Naylor
language : en
Publisher: John Wiley & Sons
Release Date : 1971

Computer Simulation Experiments With Models Of Economic Systems written by Thomas H. Naylor and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Business & Economics categories.


Describes methodology for formulation of various economic models and scientific management models, and covers validation, experimental design, data analysis of variance, sequential sampling, spectral analysis, variance reduction, statistical analysis, rules governing sample sizes, simulation languages, etc.