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      Computer Simulation
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      Book

      Computer Simulation

      DOI link for Computer Simulation

      Computer Simulation book

      A Foundational Approach Using Python

      Computer Simulation

      DOI link for Computer Simulation

      Computer Simulation book

      A Foundational Approach Using Python
      ByYahya E. Osais
      Edition 1st Edition
      First Published 2017
      eBook Published 6 December 2017
      Pub. Location New York
      Imprint Chapman and Hall/CRC
      DOI https://doi.org/10.1201/9781315120294
      Pages 313
      eBook ISBN 9781315120294
      Subjects Computer Science, Mathematics & Statistics
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      Osais, Y.E. (2017). Computer Simulation: A Foundational Approach Using Python (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315120294

      ABSTRACT

      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.

      TABLE OF CONTENTS

      part 1|105 pages

      The Fundamentals

      chapter 1|9 pages

      Introduction

      chapter 2|13 pages

      Building Conceptual Models

      chapter 3|11 pages

      Simulating Probabilities

      chapter 4|30 pages

      Simulating Random Variables and Stochastic Processes

      chapter 5|24 pages

      Simulating the Single-Server Queueing System

      chapter 6|13 pages

      Statistical Analysis of Simulated Data

      part 2|30 pages

      Managing Complexity

      chapter 7|14 pages

      Event Graphs

      chapter 8|14 pages

      Building Simulation Programs

      part 3|25 pages

      Problem-Solving

      chapter 9|23 pages

      The Monte Carlo Method

      part 4|43 pages

      IV Sources of Randomness

      chapter 10|22 pages

      Random Variate Generation

      chapter 11|19 pages

      Random Number Generation

      part 5|27 pages

      Case Studies

      chapter 12|25 pages

      Case Studies

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