Add to ORKGThis course introduces simulation and queueing modelling techniques. The following topics relating to simulation and queueing theory are covered: random variables, probability distribution of functions, single queue Markovian systems, semi-Markovian queueing systems, pseudo-random number generation, estimation techniques for analyzing endogenously created data, and validation of a simulation design. The course prerequisite is GNE 331 Probability and Statistics
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...
This document gives an overview the standard methods used to model and analyze the performance of qu...
The master’s thesis solves models of queueing systems, which use the property of Markov chains. The ...
The application of engineering principles in divergent fields such as management science and communi...
This introductory textbook is designed for a one-semester course on queueing theory that does not re...
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introdu...
Welcome to this graduate course on Discrete-Event Simulation, a hybrid discipline that combines kno...
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introdu...
This is a pre-requisite for almost all graduate level courses in communications, signal processing, ...
• To provide the students with a fundamental understanding of probabilistic methods in engineering. ...
This body of work illustrates extensively, how queues are formed and why. Probability is a vital con...
This is a textbook on applied probability and statistics with computer science applications for stud...
Discrete-event simulation is an important tool for the modeling of complex systems. Simulation is us...
This document gives an overview the standard methods used to model and analyze the performance of qu...
computer bookfair2015xiv, 413 pages :This book provides an introduction to mathematical and computer...
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...
This document gives an overview the standard methods used to model and analyze the performance of qu...
The master’s thesis solves models of queueing systems, which use the property of Markov chains. The ...
The application of engineering principles in divergent fields such as management science and communi...
This introductory textbook is designed for a one-semester course on queueing theory that does not re...
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introdu...
Welcome to this graduate course on Discrete-Event Simulation, a hybrid discipline that combines kno...
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introdu...
This is a pre-requisite for almost all graduate level courses in communications, signal processing, ...
• To provide the students with a fundamental understanding of probabilistic methods in engineering. ...
This body of work illustrates extensively, how queues are formed and why. Probability is a vital con...
This is a textbook on applied probability and statistics with computer science applications for stud...
Discrete-event simulation is an important tool for the modeling of complex systems. Simulation is us...
This document gives an overview the standard methods used to model and analyze the performance of qu...
computer bookfair2015xiv, 413 pages :This book provides an introduction to mathematical and computer...
Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve d...
This document gives an overview the standard methods used to model and analyze the performance of qu...
The master’s thesis solves models of queueing systems, which use the property of Markov chains. The ...