Its sturdy leatherette binding will stand up to years of constant use.The third edition updates this popular reference book with new terminology and materials, and adds dozens of new illustrations of grip hardware, film lighting equipment and painting tools. Backstage Handbook includes chapters on Tools, Hardware, Materials, Electrics, Shop Math, Architecture and Theatre. There are hundreds of illustrations, tables and charts which cover everything from the stock sizes and specs of wood screws, to safe working loads for several kinds of rope, to illustrations of twenty-two types of standard lamp bases.

    For courses in Fundamentals of Game Design for all video game developers and designers With a focus on designing for the commercial entertainment market, this text teaches the principles and practice of game design and covers each of the major game genres individually.

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.