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Introduction To Nonsmooth Optimization


Introduction To Nonsmooth Optimization
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Introduction To Nonsmooth Optimization


Introduction To Nonsmooth Optimization
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Author : Adil Bagirov
language : en
Publisher: Springer
Release Date : 2014-08-12

Introduction To Nonsmooth Optimization written by Adil Bagirov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-12 with Business & Economics categories.


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.



Nonsmooth Optimization Analysis And Algorithms With Applications To Optimal Control


Nonsmooth Optimization Analysis And Algorithms With Applications To Optimal Control
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Author : Marko M Makela
language : en
Publisher: World Scientific
Release Date : 1992-05-07

Nonsmooth Optimization Analysis And Algorithms With Applications To Optimal Control written by Marko M Makela and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-05-07 with Mathematics categories.


This book is a self-contained elementary study for nonsmooth analysis and optimization, and their use in solution of nonsmooth optimal control problems. The first part of the book is concerned with nonsmooth differential calculus containing necessary tools for nonsmooth optimization. The second part is devoted to the methods of nonsmooth optimization and their development. A proximal bundle method for nonsmooth nonconvex optimization subject to nonsmooth constraints is constructed. In the last part nonsmooth optimization is applied to problems arising from optimal control of systems covered by partial differential equations. Several practical problems, like process control and optimal shape design problems are considered.



An Introduction To Nonlinear Optimization Theory


An Introduction To Nonlinear Optimization Theory
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Author : Marius Durea
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2014-12-15

An Introduction To Nonlinear Optimization Theory written by Marius Durea and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-15 with Mathematics categories.


The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting with the case of differentiable data and the classical results on constrained optimization problems, and continuing with the topic of nonsmooth objects involved in optimization theory, the book concentrates on both theoretical and practical aspects of this field. This book prepares those who are engaged in research by giving repeated insights into ideas that are subsequently dealt with and illustrated in detail.



Methods Of Dynamic And Nonsmooth Optimization


Methods Of Dynamic And Nonsmooth Optimization
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Author : Frank H. Clarke
language : en
Publisher: SIAM
Release Date : 1989-01-01

Methods Of Dynamic And Nonsmooth Optimization written by Frank H. Clarke and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-01-01 with Mathematics categories.


Presents the elements of a unified approach to optimization based on "nonsmooth analysis," a term introduced in the 1970's by the author, who is a pioneer in the field. Based on a series of lectures given at a conference at Emory University in 1986, this volume presents its subjects in a self-contained and accessible manner. The topics treated here have been in an active state of development, and this work therefore incorporates more recent results than those presented in 1986. Focuses mainly on deterministic optimal control, the calculus of variations, and mathematical programming. In addition, it features a tutorial in nonsmooth analysis and geometry and demonstrates that the method of value function analysis via proximal normals is a powerful tool in the study of necessary conditions, sufficient conditions, controllability, and sensitivity analysis. The distinction between inductive and deductive methods, the use of Hamiltonians, the verification technique, and penalization are also emphasized.



An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization


An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization
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Author : Wolfgang Achtziger
language : de
Publisher:
Release Date : 1998

An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization written by Wolfgang Achtziger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.




An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization


An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization
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Author : Wolfgang Achtziger
language : de
Publisher:
Release Date : 1998

An Introduction To Numerical Methods Of Nonsmooth Optimization And Some Applications In Structural Optimization written by Wolfgang Achtziger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.




A Condensed Introduction To Bundle Methods In Nonsmooth Optimization


A Condensed Introduction To Bundle Methods In Nonsmooth Optimization
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Author : Claude Lemaréchal
language : de
Publisher:
Release Date : 1994

A Condensed Introduction To Bundle Methods In Nonsmooth Optimization written by Claude Lemaréchal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Optimization And Nonsmooth Analysis


Optimization And Nonsmooth Analysis
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Author : Frank H. Clarke
language : en
Publisher: Society for Industrial and Applied Mathematics
Release Date : 1987-01-01

Optimization And Nonsmooth Analysis written by Frank H. Clarke and has been published by Society for Industrial and Applied Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01-01 with Mathematics categories.


Mathematical Reviews said of this book that it was 'destined to become a classical reference.' This book has appeared in Russian translation and has been praised both for its lively exposition and its fundamental contributions. The author first develops a general theory of nonsmooth analysis and geometry which, together with a set of associated techniques, has had a profound effect on several branches of analysis and optimization. Clarke then applies these methods to obtain a powerful, unified approach to the analysis of problems in optimal control and mathematical programming. Examples are drawn from economics, engineering, mathematical physics, and various branches of analysis in this reprint volume.



An Introduction To Nonsmooth Analysis


An Introduction To Nonsmooth Analysis
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Author : Juan Ferrera
language : en
Publisher: Academic Press
Release Date : 2013-11-26

An Introduction To Nonsmooth Analysis written by Juan Ferrera and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Mathematics categories.


Nonsmooth Analysis is a relatively recent area of mathematical analysis. The literature about this subject consists mainly in research papers and books. The purpose of this book is to provide a handbook for undergraduate and graduate students of mathematics that introduce this interesting area in detail. Includes different kinds of sub and super differentials as well as generalized gradients Includes also the main tools of the theory, as Sum and Chain Rules or Mean Value theorems Content is introduced in an elementary way, developing many examples, allowing the reader to understand a theory which is scattered in many papers and research books



Numerical Nonsmooth Optimization


Numerical Nonsmooth Optimization
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Author : Adil M. Bagirov
language : en
Publisher: Springer Nature
Release Date : 2020-02-28

Numerical Nonsmooth Optimization written by Adil M. Bagirov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Business & Economics categories.


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.