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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.




Acm Transactions On Modeling And Computer Simulation


Acm Transactions On Modeling And Computer Simulation
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Author :
language : en
Publisher:
Release Date : 2004

Acm Transactions On Modeling And Computer Simulation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer simulation 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



Mathematical Modeling


Mathematical Modeling
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Author : Mark M. Meerschaert
language : en
Publisher: Elsevier
Release Date : 2007-06-18

Mathematical Modeling written by Mark M. Meerschaert and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-18 with Mathematics categories.


Mathematical Modeling, Third Edition is a general introduction to an increasingly crucial topic for today's mathematicians. Unlike textbooks focused on one kind of mathematical model, this book covers the broad spectrum of modeling problems, from optimization to dynamical systems to stochastic processes. Mathematical modeling is the link between mathematics and the rest of the world. Meerschaert shows how to refine a question, phrasing it in precise mathematical terms. Then he encourages students to reverse the process, translating the mathematical solution back into a comprehensible, useful answer to the original question. This textbook mirrors the process professionals must follow in solving complex problems. Each chapter in this book is followed by a set of challenging exercises. These exercises require significant effort on the part of the student, as well as a certain amount of creativity. Meerschaert did not invent the problems in this book--they are real problems, not designed to illustrate the use of any particular mathematical technique. Meerschaert's emphasis on principles and general techniques offers students the mathematical background they need to model problems in a wide range of disciplines. Increased support for instructors, including MATLAB material New sections on time series analysis and diffusion models Additional problems with international focus such as whale and dolphin populations, plus updated optimization problems



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 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



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 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.



Use Of Computer Models In Biomedical Research


Use Of Computer Models In Biomedical Research
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Author :
language : en
Publisher:
Release Date : 1986

Use Of Computer Models In Biomedical Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Biological models categories.




Environmental Statistics And Data Analysis


Environmental Statistics And Data Analysis
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Author : Wayne R. Ott
language : en
Publisher: CRC Press
Release Date : 1994-12-20

Environmental Statistics And Data Analysis written by Wayne R. Ott and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-20 with Mathematics categories.


This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting important details and assumptions. Topics include Bayes' Theorem, geometric distribution, computer simulation, histograms and frequency plots, maximum likelihood estimation, the tail exponential method, Bernoulli processes, Poisson processes, diffusion and dispersion of pollutants, normal distribution, confidence intervals, and stochastic dilution; gamma, chi-square, and Weibull distributions; and the two- and three-parameter lognormal distributions. The author also presents the Statistical Theory of Rollback, which allows data analysts and regulatory officials to estimate the effect of different emission control strategies on environmental quality frequency distributions. Assuming only a basic knowledge of algebra and calculus, Environmental Statistics and Data Analysis provides an outstanding reference and collection of statistical procedures for analyzing environmental data and making accurate environmental predictions.