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Monte-Carlo Simulation

Alan Stevens
€107.99
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A01=Alan Stevens
applied statistical physics
Author_Alan Stevens
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Category=PBKS
Category=UMX
Category=UYM
Centre Line Temperatures
Centroidal Axis
computational mechanics
Cumulative Distribution Functions
engineering probability methods
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Gamma Photons
Good Pseudo-random Number Generators
Heat Exchanger Plate
Import Numpy
Ising Spin Model
Linear Attenuation Coefficient
Magnetic Field Case
Metropolis Algorithm
Monte Carlo Estimates
Monte Carlo Simulation Approach
Monte Carlo Trials
Non-dimensional Representation
Non-zero Magnetic Field
Order Statistic Approach
Python Program
Radiation Shielding Material
scientific computing
simulation techniques for physical systems
stochastic modeling
uncertainty quantification
Uniform Random
Uniform Random Vector
Unit Quarter Circle
View Factor
Virtual Particles

Product details

  • ISBN 9781032280776
  • Weight: 680g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Sep 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models.

Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language.

Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics, as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations.
About Alan Stevens
Alan Stevens spent his working life (35 years) at Rolls-Royce as a mathematical modeller, dealing mainly with design, safety and performance calculations for nuclear reactors. Rolls-Royce designs and manufactures the nuclear reactors that power the Royal Navy’s submarines. This included engineering heat transfer and fluid flow, reactor physics and whole plant modelling. In retirement he has sat on several committees of the Institute of Mathematics and Its Applications (IMA) in the UK, including its Executive Board and governing Council. He spent four years as its VP of Communications.

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