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Discrete and Continuous Simulation
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Discrete and Continuous Simulation

Theory and Practice

Discrete and Continuous Simulation

Theory and Practice

BySusmita Bandyopadhyay, Ranjan Bhattacharya
Edition 1st Edition
First Published 2014
eBook Published 25 June 2014
Pub. location Boca Raton
Imprint CRC Press
DOIhttps://doi.org/10.1201/b17127
Pages 375 pages
eBook ISBN 9781466596405
SubjectsComputer Science, Engineering & Technology
Get Citation

Get Citation

Bandyopadhyay, S., Bhattacharya, R. (2014). Discrete and Continuous Simulation. Boca Raton: CRC Press, https://doi.org/10.1201/b17127
ABOUT THIS BOOK

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract
CONTENTS
ABOUT THIS BOOK

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract
ABOUT THIS BOOK
ABOUT THIS BOOK

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract

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 industria

TABLE OF CONTENTS
chapter 1|16 pages
Introduction to Simulation
View abstract
chapter 2|16 pages
Monte Carlo Simulation
View abstract
chapter 3|20 pages
Introduction to Probability Theory
View abstract
chapter 4|26 pages
Probability Distributions
View abstract
chapter 5|26 pages
Introduction to Random Number Generators
View abstract
chapter 6|24 pages
Random Variate Generation
View abstract
chapter 7|24 pages
Steady-State Behavior of Stochastic Processes
View abstract
chapter 8|6 pages
Statistical Analysis of Steady-State Parameters
View abstract
chapter 9|16 pages
Computer Simulation
View abstract
chapter 10|18 pages
Manufacturing Simulation
View abstract
chapter 11|12 pages
Manufacturing and Supply Chain Simulation Packages
View abstract
chapter 12|22 pages
Supply Chain Simulation
View abstract
chapter 13|14 pages
Simulation in Various Disciplines
View abstract
chapter 14|8 pages
Simulation of Complex Systems
View abstract
chapter 15|6 pages
Simulation with Cellular Automata
View abstract
chapter 16|22 pages
Agent-Based Simulation
View abstract
chapter 17|18 pages
Continuous System Simulation
View abstract
chapter 18|6 pages
Introduction to Simulation Optimization
View abstract
chapter 19|10 pages
Algorithms for Simulation Optimization
View abstract
chapter 20|12 pages
Simulation with System Dynamics
View abstract
chapter 21|12 pages
Simulation Software
View abstract
chapter 22|12 pages
Future Trends in Simulation
View abstract
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