A01=James A. Wall
A01=Udo W. Pooch
advanced simulation for engineering research
Advantages of Simulation
Author_James A. Wall
Author_Udo W. Pooch
Bernoulli Distribution
Category=PBT
Category=UGK
Category=UT
Chi-square Distribution
Continuous Distributions
Disadvantages of Simulation
Discrete Distributions
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental design methods
model optimization techniques
network performance analysis
Probability Concepts
Probability Distributions
Queueing Theory and Simulation
random number generation
Simulation Terminology
simulation verification
Statistical Tests
stochastic modeling
Product details
- ISBN 9780849371745
- Weight: 960g
- Dimensions: 156 x 234mm
- Publication Date: 21 Dec 1992
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
Discrete Event Simulation is a process-oriented text/reference that utilizes an eleven-step model to represent the simulation process from problem formulation to implementation and documentation. The book presents the necessary level of detail required to fully develop a model that produces meaningful results and considers the tools necessary to interpret those results. Sufficient background information is provided so that the underlying concepts of simulation are understood.
Major topics covered in Discrete Event Simulation include probability and distributional theory, statistical estimation and inference, the generation of random variates, verification and validation techniques, time management methods, experimental design, and programming language considerations. The book also examines distributed simulation and issues related to distributing the physical process over a network of tightly coupled processors. Topics covered in this area include deadlock, synchronization, rollback, event management, and communication processes.
Fully worked examples and numerous practical exercises have been drawn from the engineering disciplines and computer science, although they have been structured so that they will be useful as well to other disciplines such as economics, business administration, and management science. The presentation of techniques and methods in Discrete Event Simulation make it an ideal text/reference for all practitioners of discrete event simulation.
