Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual (eBook)

This accessible new edition explores the major topics in Monte
Carlo simulation

Simulation and the Monte Carlo Method, Second Edition reflects
the latest developments in the field and presents a fully updated
and comprehensive account of the major topics that have emerged in
Monte Carlo simulation since the publication of the classic First
Edition over twenty-five years ago. While maintaining its
accessible and intuitive approach, this revised edition features a
wealth of up-to-date information that facilitates a deeper
understanding of problem solving across a wide array of subject
areas, such as engineering, statistics, computer science,
mathematics, and the physical and life sciences.

The book begins with a modernized introduction that addresses
the basic concepts of probability, Markov processes, and convex
optimization. Subsequent chapters discuss the dramatic changes that
have occurred in the field of the Monte Carlo method, with coverage
of many modern topics including:

Markov Chain Monte Carlo

Variance reduction techniques such as the transform likelihood
ratio method and the screening method

The score function method for sensitivity analysis

The stochastic approximation method and the stochastic
counter-part method for Monte Carlo optimization

The cross-entropy method to rare events estimation and
combinatorial optimization

Application of Monte Carlo techniques for counting problems,
with an emphasis on the parametric minimum cross-entropy method

An extensive range of exercises is provided at the end of each
chapter, with more difficult sections and exercises marked
accordingly for advanced readers. A generous sampling of applied
examples is positioned throughout the book, emphasizing various
areas of application, and a detailed appendix presents an
introduction to exponential families, a discussion of the
computational complexity of stochastic programming problems, and
sample MATLAB® programs.

Requiring only a basic, introductory knowledge of probability
and statistics, Simulation and the Monte Carlo Method, Second
Edition is an excellent text for upper-undergraduate and beginning
graduate courses in simulation and Monte Carlo techniques. The book
also serves as a valuable reference for professionals who would
like to achieve a more formal understanding of the Monte Carlo
method.