Nonsmooth Vector Functions and Continuous Optimization

Nonsmooth Vector Functions and Continuous Optimization
Author: V. Jeyakumar
Publisher: Springer Science & Business Media
Total Pages: 277
Release: 2007-10-23
Genre: Mathematics
ISBN: 0387737170

Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems, as well as variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus, using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function.

Notfallmedizin

Notfallmedizin
Author: Friedrich W. Ahnefeld
Publisher:
Total Pages: 385
Release: 1990
Genre: Notfallmedizin
ISBN: 9780387520278

Nonsmooth Optimization: Analysis And Algorithms With Applications To Optimal Control

Nonsmooth Optimization: Analysis And Algorithms With Applications To Optimal Control
Author: Marko M Makela
Publisher: World Scientific
Total Pages: 268
Release: 1992-05-07
Genre: Mathematics
ISBN: 9814522414

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.

Continuous Optimization and Variational Inequalities

Continuous Optimization and Variational Inequalities
Author: Anurag Jayswal
Publisher: CRC Press
Total Pages: 379
Release: 2022-09-13
Genre: Technology & Engineering
ISBN: 1000648931

The proposed book provides a comprehensive coverage of theory and methods in the areas of continuous optimization and variational inequality. It describes theory and solution methods for optimization with smooth and non-smooth functions, for variational inequalities with single-valued and multivalued mappings, and for related classes such as mixed variational inequalities, complementarity problems, and general equilibrium problems. The emphasis is made on revealing generic properties of these problems that allow creation of efficient solution methods. Salient Features The book presents a deep, wide-ranging introduction to the theory of the optimal control of processes governed by optimization techniques and variational inequality Several solution methods are provided which will help the reader to develop various optimization tools for real-life problems which can be modeled by optimization techniques involving linear and nonlinear functions. The book focuses on most recent contributions in the nonlinear phenomena, which can appear in various areas of human activities. This book also presents relevant mathematics clearly and simply to help solve real life problems in diverse fields such as mechanical engineering, management, control behavior, traffic signal, industry, etc. This book is aimed primarily at advanced undergraduates and graduate students pursuing computer engineering and electrical engineering courses. Researchers, academicians and industry people will also find this book useful.

V-Invex Functions and Vector Optimization

V-Invex Functions and Vector Optimization
Author: Shashi K. Mishra
Publisher: Springer Science & Business Media
Total Pages: 170
Release: 2007-11-17
Genre: Mathematics
ISBN: 0387754466

This volume summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past few decades. Specifically, the book focuses on V-invex functions in vector optimization that have grown out of the work of Jeyakumar and Mond in the 1990’s. The authors integrate related research into the book and demonstrate the wide context from which the area has grown and continues to grow.

Introduction to Nonsmooth Optimization

Introduction to Nonsmooth Optimization
Author: Adil Bagirov
Publisher: Springer
Total Pages: 377
Release: 2014-08-12
Genre: Business & Economics
ISBN: 3319081144

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.

System Modeling and Optimization

System Modeling and Optimization
Author: Adam Korytowski
Publisher: Springer Science & Business Media
Total Pages: 515
Release: 2009-10-15
Genre: Technology & Engineering
ISBN: 3642048013

rd This book constitutes a collection of extended versions of papers presented at the 23 IFIP TC7 Conference on System Modeling and Optimization, which was held in C- cow, Poland, on July 23–27, 2007. It contains 7 plenary and 22 contributed articles, the latter selected via a peer reviewing process. Most of the papers are concerned with optimization and optimal control. Some of them deal with practical issues, e. g. , p- formance-based design for seismic risk reduction, or evolutionary optimization in structural engineering. Many contributions concern optimization of infini- dimensional systems, ranging from a general overview of the variational analysis, through optimization and sensitivity analysis of PDE systems, to optimal control of neutral systems. A significant group of papers is devoted to shape analysis and opti- zation. Sufficient optimality conditions for ODE problems, and stochastic control methods applied to mathematical finance, are also investigated. The remaining papers are on mathematical programming, modeling, and information technology. The conference was the 23rd event in the series of such meetings biennially org- ized under the auspices of the Seventh Technical Committee “Systems Modeling and Optimization” of the International Federation for Information Processing (IFIP TC7).

Variational Analysis and Generalized Differentiation in Optimization and Control

Variational Analysis and Generalized Differentiation in Optimization and Control
Author: Regina S. Burachik
Publisher: Springer Science & Business Media
Total Pages: 237
Release: 2010-11-25
Genre: Mathematics
ISBN: 1441904379

This book presents some 20 papers describing recent developments in advanced variational analysis, optimization, and control systems, especially those based on modern variational techniques and tools of generalized differentiation.

Nonsmooth Analysis

Nonsmooth Analysis
Author: Winfried Schirotzek
Publisher: Springer Science & Business Media
Total Pages: 380
Release: 2007-05-26
Genre: Mathematics
ISBN: 3540713336

This book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for locally Lipschitz continuous functions and then presents subdifferentials for general lower semicontinuous functions. All basic tools are presented where they are needed: this concerns separation theorems, variational and extremal principles as well as relevant parts of multifunction theory. Each chapter ends with bibliographic notes and exercises.