This book addresses the need for a principled approach to understanding the foundations of genetic algorithms and classifer systems as a way of enhancing their further development and application.

The examples provided offer both a contextual and procedural base that students can easily build upon. Thinking Mathematically Second Edition Every student doing a mathematics degree should read this book.

The sixth edition provides a thorough grounding in basic mathematical and statisical techniques for business students, and students on a professional course such as accounting.

This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena ...

The book may also be used as a reference for graduate students, researchers, and professionals in modern applied mathematics, mathematical physics, and engineering.

Among the many new features of this third edition are new chapters on Brownian motion and geometric Brownian motion, stochastic order relations and stochastic dynamic programming, along with expanded sets of exercises and references for all ...

It presents topics in ways that are most easily understood, yet does not sacrifice rigor or coverage. In using this book, students discover that real analysis is completely deducible from the axioms of the real number system.

Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. This book is part of the SAS Press program.

The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology.

All topics are clearly developed and motivated for the reader with ample explanations, examples and practice exercise sets. All graduates and professionals in mechanical engineering and applied math will find the book accessible.

Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic ...

A classic resource for working with special functions, standard trig, and exponential logarithmic definitions and extensions, it features 29 sets of tables, some to as high as 20 places.

The book provides an authoritative tour through a dazzling ensemble of topics and is both an ideal introduction to the subject and reference for researchers. "This is an inspiring book, which is carefully written in rich language.

2003 - Horst R. Thieme

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