发帖
雷达卡
by Anulekha Dhara, Joydeep Dutta
October 17, 2011 by CRC Press
Reference - 444 Pages - 17 B/W Illustrations
ISBN 9781439868225 - CAT# K13102
Features
- Starts from fundamentals and moves to recent research
- Supplements the text with many examples and solutions
- Focuses on finite dimensions to allow for deep results and a solid understanding of the structures involved in a convex optimization problem
Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality conditions. It brings together the most important and recent results in this area that have been scattered in the literature—notably in the area of convex analysis—essential in developing many of the important results in this book, and not usually found in conventional texts. Unlike other books on convex optimization, which usually discuss algorithms along with some basic theory, the sole focus of this book is on fundamental and advanced convex optimization theory.
Although many results presented in the book can also be proved in infinite dimensions, the authors focus on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. They address semi-infinite optimization problems; approximate solution concepts of convex optimization problems; and some classes of non-convex problems which can be studied using the tools of convex analysis. They include examples wherever needed, provide details of major results, and discuss proofs of the main results.
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