Description: Numerical Nonsmooth Optimization : State of the Art Algorithms, Paperback by Bagirov, Adil M. (EDT); Gaudioso, Manlio (EDT); Karmitsa, Napsu (EDT); Makela, Marko M. (EDT); Taheri, Sona (EDT), ISBN 3030349128, ISBN-13 9783030349127, Like New Used, Free shipping in the US Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this book is to survey various numerical methods for solving NSO problems and to provide an overview of the latest developments in the field. Experts from around the world share their perspectives on specific aspects of numerical NSO. Th is divided into four parts, the first of which considers general methods including subgradient, bundle and gradient sampling methods. In turn, the second focuses on methods that exploit the problem’s special structure, . algorithms for nonsmooth DC programming, VU decomposition techniques, and algorithms for minimax and piecewise differentiable problems. The third part considers methods for special problems like multiobjective and mixed integer NSO, and problems involving inexact data, while the last part highlights the latest advancements in derivative-free NSO.Given its scope, th is ideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for practitioners who apply nonsmooth optimization methods in engineering, artificial intelligence, machine learning, and business. Furthermore, it can serve as a reference text for experts dealing with nonsmooth optimization.
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Book Title: Numerical Nonsmooth Optimization : State of the Art Algorithms
Number of Pages: Xvii, 698 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Numerical Analysis, Operations Research, Management Science
Publication Year: 2021
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 38.1 Oz
Author: Manlio Gaudioso
Item Length: 9.3 in
Item Width: 6.1 in
Format: Trade Paperback
