Kleinrock Leonard Queueing Systems Volume I Theory New York Wiley 1975


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Probability, Statistics, and Queueing Theory


Probability, Statistics, and Queueing Theory

Author: Arnold O. Allen

language: en

Publisher: Academic Press

Release Date: 2014-06-28


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This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.

An Annotated Timeline of Operations Research


An Annotated Timeline of Operations Research

Author: Saul I. Gass

language: en

Publisher: Springer Science & Business Media

Release Date: 2005-01-07


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Arising from the urgent operational issues of World War II, the philosophy and methodology of Operations Research (OR) has permeated the resolution of decision problems in business, industry, and government. This work recounts the evolution of OR as the science of decision making. It chronicles the history of OR in the form of expository entries.

Probability and Random Processes for Electrical and Computer Engineers


Probability and Random Processes for Electrical and Computer Engineers

Author: Charles Therrien

language: en

Publisher: CRC Press

Release Date: 2018-09-03


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With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject’s relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability model, random variables and transformations, and inequalities and limit theorems. The second deals with several types of random processes and queuing theory. New or Updated for the Second Edition: A short new chapter on random vectors that adds some advanced new material and supports topics associated with discrete random processes Reorganized chapters that further clarify topics such as random processes (including Markov and Poisson) and analysis in the time and frequency domain A large collection of new MATLAB®-based problems and computer projects/assignments Each Chapter Contains at Least Two Computer Assignments Maintaining the simplified, intuitive style that proved effective the first time, this edition integrates corrections and improvements based on feedback from students and teachers. Focused on strengthening the reader’s grasp of underlying mathematical concepts, the book combines an abundance of practical applications, examples, and other tools to simplify unnecessarily difficult solutions to varying engineering problems in communications, signal processing, networks, and associated fields.


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