http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
When it comes to discovering glitches inherent in complex systems-be it a railway or banking, chemical production, medical, manufacturing, or inventory control system-developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the original. Advantageous to both academic and industrial practitioners, Discrete and Continuous Simulation: Theory and Practice offers a detailed view of simulation that is useful in several fields of study. This text concentrates on the simulation of complex systems, cov.
Front Cover; Contents; List of Figures; List of Tables; Preface; Chapter 1: Introduction to Simulation; Chapter 2: Monte Carlo Simulation; Chapter 3: Introduction to Probability Theory; Chapter 4: Probability Distributions; Chapter 5: Introduction to Random Number Generators; Chapter 6: Random Variate Generation; Chapter 7: Steady-State Behavior of Stochastic Processes; Chapter 8: Statistical Analysis of Steady-State Parameters; Chapter 9: Computer Simulation; Chapter 10: Manufacturing Simulation; Chapter 11: Manufacturing and Supply Chain Simulation Packages.
Chapter 12: Supply Chain SimulationChapter 13: Simulation in Various Disciplines; Chapter 14: Simulation of Complex Systems; Chapter 15: Simulation with Cellular Automata; Chapter 16: Agent-Based Simulation; Chapter 17: Continuous System Simulation; Chapter 18: Introduction to Simulation Optimization; Chapter 19: Algorithms for Simulation Optimization; Chapter 20: Simulation with System Dynamics; Chapter 21: Simulation Software; Chapter 22: Future Trends in Simulation; Back Cover.
Susmita Bandyopadhyay, Ranjan Bhattacharya.
Includes bibliographical references and index.