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.