Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book's opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences.

What makes band saw boxes so wonderful? They don’t require a shop full of expensive tools, they have unlimited design potential, and they’re easy to make. For years, woodworker Donna Menke has researched every aspect of the process, accumulating a wealth of knowledge about band-saw use, safety precautions, construction, and finishing techniques. Here, she passes on those ideas and skills, explaining all the basics of selecting and handling the wood, cutting, sanding, fitting edges, gluing, making repairs, and giving the box a gorgeous surface treatment, such as carving or inlay. The breathtaking projects begin with an easy, no-fail Bangle Box, and include a mahogany Star Box, a Man in the Moon box with a segmented lid, and many others. A Selection of the F & W Book Club.

Telegraphic Realism demonstrates the connections between British nineteenth-century fiction, media technologies, and developing ideas about information, from the postage stamp to wireless.

"Environmental Data Analysis with MatLab" is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial. It is well written and outlines a clear learning path for researchers and students. It uses real world environmental examples and case studies. It has MatLab software for application in a readily-available software environment. Homework problems help user follow up upon case studies with homework that expands them.