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.
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