Description: Optimality Conditions in Convex Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Finite-Dimensional View Author(s): Anulekha Dhara, Joydeep Dutta Format: Hardback Publisher: Taylor & Francis Inc, United States Imprint: CRC Press Inc ISBN-13: 9781439868225, 978-1439868225 Synopsis 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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Book Title: Optimality Conditions in Convex Optimization
Number of Pages: 444 Pages
Publication Name: Optimality Conditions in Convex Optimization: a Finite-Dimensional View
Language: English
Publisher: Taylor & Francis INC International Concepts
Item Height: 234 mm
Subject: Mathematics
Publication Year: 2011
Type: Textbook
Item Weight: 748 g
Author: Anulekha Dhara, Joydeep Dutta
Item Width: 156 mm
Format: Hardcover