Saturday, April 13, 2013

Convexity and Optimization in R (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)

Convexity and Optimization in R (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)

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Product Description

A comprehensive introduction to convexity and optimization in Rn

This book presents the mathematics of finite dimensional constrained optimization problems. It provides a basis for the further mathematical study of convexity, of more general optimization problems, and of numerical algorithms for the solution of finite dimensional optimization problems. For readers who do not have the requisite background in real analysis, the author provides a chapter covering this material. The text features abundant exercises and problems designed to lead the reader to a fundamental understanding of the material.

Convexity and Optimization in Rn provides detailed discussion of:
* Requisite topics in real analysis
* Convex sets
* Convex functions
* Optimization problems
* Convex programming and duality
* The simplex method


A detailed bibliography is included for further study and an index offers quick reference. Suitable as a text for both graduate and undergraduate students in mathematics and engineering, this accessible text is written from extensively class-tested notes.

Convexity and Optimization in R (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts) Review

This book fully explains the convexity of math. The author really seems to know what he is talking about. It's almost as if math is somehow fun again. Convexity and Optimization in Rn is just amazing. I cannot stand math, but after I read this book I have had an ephiphany. I used to get B's in math. (actually I still do) But the point is, this book really helped me understand my mathmatics.

The author is knowledgeable. I got to meet him at a book signing and he was incredibly nice, funny, and amazing. His words changed my life forever. This book is a MUST READ! TWO THUMBS UP!

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