Numerical Nonsmooth Optimization : State of the Art Algorithms

Language: English

Published by Springer, 2020

3030349098 / 9783030349097

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Druck auf Anfrage Neuware - Printed after ordering - 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.The book 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, e.g. 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, the book isideal 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.

Seller Inventory # 9783030349097

Title
Numerical Nonsmooth Optimization : State of the Art Algorithms
Author
Napsu Karmitsa
Publisher
Springer
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030349098
ISBN 13
9783030349097
Item weight
1,226 grams
Dimensions
241x160x44 mm

AHA-BUCH GmbH

Einbeck, Germany

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