Although powerful and very popular in science and engineering, Mathematica can be difficult to learn because of its large command structure and intricate syntax. This book offers a simple, step-by-step approach to help newcomers to Mathematica build the skills needed to use the software in practice. Aimed at professionals with a good mathematics background, this book teaches by example, pointing out potential pitfalls along the way. In an easy-to-use format not found in other books and downloadable code furnished on the Internet, it covers many of the general areas of mathematics, including entering equations, plotting, computing ordinary and partial differential equations, and linear algebra.

This book provides an up-to-date introduction to information theory. It provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory.