Computer Simulation

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A01=Yahya Esmail Osais
Antithetic Sampling
Author_Yahya Esmail Osais
Bernoulli Random Variable
Category=PBWH
Category=UB
Category=UY
CDF
CMC
Continuous Random Variables
Crude Monte Carlo Method
Data Set
discrete event modelling
Discrete Random Variable
DTMC.
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Erlang Random Variable
Event Graph
event graphs
Event Handler
Exponential Random Variable
Geometric Random Variable
IID Sample
Inter-arrival Times
LFSR.
modeling
Monte Carlo Methods
Poisson Random Variable
probability distributions analysis
Python
Python Program
queueing systems
queueing theory applications
Random Experiment
random number generation techniques
Random Variable
Sample Paths
simulation
Simulation Loop
simulation techniques for research problems
Single Server Queueing System
stochastic simulation methods
undergraduate engineering resource
Uniform Random Variable
Yahya E. Osais

Product details

  • ISBN 9781498726825
  • Weight: 1000g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Nov 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Yahya E. Osais is a faculty in the department of computer engineering at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He obtained his B.Sc. and M.Sc. from the same department in 2000 and 2003, respectively. In 2010, he obtained his Ph.D. from the department of systems and computer engineering at Carleton university, Ontario, Canada. Dr. Osais regulary teaches a graduate course on computer simulation for students in the college of computer science and engineering at KFUPM. He also teaches courses on computer engineering design and web technologies. His current research interest includes stochastic modeling and simulation, cyberphysical systems, and Internet of things.

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