An Optimization Primer: On Models, Algorithms, and Duality / Edition 1

by Lawrence Nazareth

Overview

This book introduces a general audience to the main facets of optimization.

Very little mathematical background is assumed.

It should appeal to students, teachers, and a general audience interested in how optimization affects their everyday life, such as people in business.

Product Details

ISBN-13:	9780387211558
Publisher:	Springer New York
Publication date:	05/18/2004
Edition description:	2004
Pages:	108
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

* Comments on Style and Print Size * Simple Motivating Examples * A Quintessential Optimization Problem * Duality on Bipartite Networks * A Network Flows Overview * Duality in Linear Programming * Golden Age of Optimization * An Algorithmic Revolution * Nonlinear Programming * DLP and Extensions * Optimization: The Big Picture * Bibliography * Index * About the Author

Editorial Reviews

From the reviews:

Your latest, An Optimization Primer, is a little masterpiece. Congratulations!

- George B. Dantzig, Stanford University

Your book looks very good, a particularly nice way to introduce people to the topic.

- James Renegar, Cornell University

"This book provides a very gentle introduction to three key aspects of the optimization field: models, algorithms and duality. … The book will be of interest to college students taking an introductory course in optimization, high school students beginning their studies in Mathematics and Science, and specialists in optimization interested in developing new ways of teaching the subject to their students." (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1103 (5), 2007)

From the Publisher