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Numerical Nonsmooth Optimization - State of the Art Algorithms (Hardcover, 1st ed. 2020) Loot Price: R5,198
Discovery Miles 51 980
Numerical Nonsmooth Optimization - State of the Art Algorithms (Hardcover, 1st ed. 2020): Adil M. Bagirov, Manlio Gaudioso,...

Numerical Nonsmooth Optimization - State of the Art Algorithms (Hardcover, 1st ed. 2020)

Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Makela, Sona Taheri

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Loot Price R5,198 Discovery Miles 51 980 | Repayment Terms: R487 pm x 12*

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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 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: February 2020
First published: 2020
Editors: Adil M. Bagirov • Manlio Gaudioso • Napsu Karmitsa • Marko M. Makela • Sona Taheri
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 698
Edition: 1st ed. 2020
ISBN-13: 978-3-03-034909-7
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-03-034909-8
Barcode: 9783030349097

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