Following a brief introduction and overview, early chapters cover the basic algebraic relationships of entropy, relative entropy and mutual information, AEP, entropy rates of stochastics processes and data compression, duality of data compression and the growth rate of wealth. Later chapters explore Kolmogorov complexity, channel capacity,...

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating...

This book explores the role of Martin-Lof s constructive type theory in computer programming. The main focus of the book is how the theory can be successfully applied in practice. Introductory sections provide the necessary background in logic, lambda calculus and constructive mathematics, and exercises and chapter summaries are included to...

I am very pleased to have this new book in the Aho/Ullman series Principles of Computer Science. I see this book as a major step toward making computer science theory accessible to the wide range of students who need to know the subject. It covers a good segment of the classical material on data structures and algorithms, but it does so in a...

Like all engineering activities, computer programming is both craft and science. Building a bridge or a computer program requires familiarity with the known techniques for the overall design of similar artifacts. And making intelligent choices among the available techniques and designs requires understanding of the mathematical principles...

This book is packed with quick formula and would might be quite useful as implied by the "design handbook" name. Some of the...