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Numerical Nonsmooth Optimization - State of the Art Algorithms (Paperback, 1st ed. 2020): Adil M. Bagirov, Manlio Gaudioso,... Numerical Nonsmooth Optimization - State of the Art Algorithms (Paperback, 1st ed. 2020)
Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Makela, Sona Taheri
R5,381 Discovery Miles 53 810 Ships in 10 - 15 working days

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.

Partitional Clustering via Nonsmooth Optimization - Clustering via Optimization (Paperback, 1st ed. 2020): Adil M. Bagirov,... Partitional Clustering via Nonsmooth Optimization - Clustering via Optimization (Paperback, 1st ed. 2020)
Adil M. Bagirov, Napsu Karmitsa, Sona Taheri
R2,976 Discovery Miles 29 760 Ships in 10 - 15 working days

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.

Partitional Clustering via Nonsmooth Optimization - Clustering via Optimization (Hardcover, 1st ed. 2020): Adil M. Bagirov,... Partitional Clustering via Nonsmooth Optimization - Clustering via Optimization (Hardcover, 1st ed. 2020)
Adil M. Bagirov, Napsu Karmitsa, Sona Taheri
R3,009 Discovery Miles 30 090 Ships in 10 - 15 working days

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.

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
R5,414 Discovery Miles 54 140 Ships in 10 - 15 working days

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.

Introduction to Nonsmooth Optimization - Theory, Practice and Software (Paperback, Softcover reprint of the original 1st ed.... Introduction to Nonsmooth Optimization - Theory, Practice and Software (Paperback, Softcover reprint of the original 1st ed. 2014)
Adil Bagirov, Napsu Karmitsa, Marko M. Makela
R5,388 Discovery Miles 53 880 Ships in 10 - 15 working days

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts: 1. convex and nonconvex analysis and the theory of NSO; 2. test problems and practical applications; 3. a guide to NSO software. The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.

Introduction to Nonsmooth Optimization - Theory, Practice and Software (Hardcover, 2014 ed.): Adil Bagirov, Napsu Karmitsa,... Introduction to Nonsmooth Optimization - Theory, Practice and Software (Hardcover, 2014 ed.)
Adil Bagirov, Napsu Karmitsa, Marko M. Makela
R5,640 Discovery Miles 56 400 Ships in 10 - 15 working days

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily di erentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of di erent problems arising in the eld. It is organized into three parts:

1. convex and nonconvex analysis and the theory of NSO;

2. test problems and practical applications;

3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the eld, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization."

Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov (Hardcover): Napsu Karmitsa, Sona Taheri Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov (Hardcover)
Napsu Karmitsa, Sona Taheri
R1,202 R1,006 Discovery Miles 10 060 Save R196 (16%) Ships in 10 - 15 working days
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