Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization write by Qamrul Hasan Ansari. This book was released on 2013-07-18. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization available in PDF, EPUB and Kindle. Until now, no book addressed convexity, monotonicity, and variational inequalities together. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization covers all three topics, including new variational inequality problems defined by a bifunction. The first part of the book focuses on generalized convexity and generalized monotonicity. The authors investigate convexity and generalized convexity for both the differentiable and nondifferentiable case. For the nondifferentiable case, they introduce the concepts in terms of a bifunction and the Clarke subdifferential. The second part offers insight into variational inequalities and optimization problems in smooth as well as nonsmooth settings. The book discusses existence and uniqueness criteria for a variational inequality, the gap function associated with it, and numerical methods to solve it. It also examines characterizations of a solution set of an optimization problem and explores variational inequalities defined by a bifunction and set-valued version given in terms of the Clarke subdifferential. Integrating results on convexity, monotonicity, and variational inequalities into one unified source, this book deepens your understanding of various classes of problems, such as systems of nonlinear equations, optimization problems, complementarity problems, and fixed-point problems. The book shows how variational inequality theory not only serves as a tool for formulating a variety of equilibrium problems, but also provides algorithms for computational purposes.
Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization
Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization write by Qamrul Hasan Ansari. This book was released on 2013-07-18. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization available in PDF, EPUB and Kindle. Until now, no book addressed convexity, monotonicity, and variational inequalities together. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization covers all three topics, including new variational inequality problems defined by a bifunction.The first part of the book focuses on generalized convexity and generalized
Vector Variational Inequalities and Vector Optimization
Vector Variational Inequalities and Vector Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Vector Variational Inequalities and Vector Optimization write by Qamrul Hasan Ansari. This book was released on 2017-10-31. Vector Variational Inequalities and Vector Optimization available in PDF, EPUB and Kindle. This book presents the mathematical theory of vector variational inequalities and their relations with vector optimization problems. It is the first-ever book to introduce well-posedness and sensitivity analysis for vector equilibrium problems. The first chapter provides basic notations and results from the areas of convex analysis, functional analysis, set-valued analysis and fixed-point theory for set-valued maps, as well as a brief introduction to variational inequalities and equilibrium problems. Chapter 2 presents an overview of analysis over cones, including continuity and convexity of vector-valued functions. The book then shifts its focus to solution concepts and classical methods in vector optimization. It describes the formulation of vector variational inequalities and their applications to vector optimization, followed by separate chapters on linear scalarization, nonsmooth and generalized vector variational inequalities. Lastly, the book introduces readers to vector equilibrium problems and generalized vector equilibrium problems. Written in an illustrative and reader-friendly way, the book offers a valuable resource for all researchers whose work involves optimization and vector optimization.
Basic Mathematical Programming Theory
Basic Mathematical Programming Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Basic Mathematical Programming Theory write by Giorgio Giorgi. This book was released on 2023-07-18. Basic Mathematical Programming Theory available in PDF, EPUB and Kindle. The subject of (static) optimization, also called mathematical programming, is one of the most important and widespread branches of modern mathematics, serving as a cornerstone of such scientific subjects as economic analysis, operations research, management sciences, engineering, chemistry, physics, statistics, computer science, biology, and social sciences. This book presents a unified, progressive treatment of the basic mathematical tools of mathematical programming theory. The authors expose said tools, along with results concerning the most common mathematical programming problems formulated in a finite-dimensional setting, forming the basis for further study of the basic questions on the various algorithmic methods and the most important particular applications of mathematical programming problems. This book assumes no previous experience in optimization theory, and the treatment of the various topics is largely self-contained. Prerequisites are the basic tools of differential calculus for functions of several variables, the basic notions of topology and of linear algebra, and the basic mathematical notions and theoretical background used in analyzing optimization problems. The book is aimed at both undergraduate and postgraduate students interested in mathematical programming problems but also those professionals who use optimization methods and wish to learn the more theoretical aspects of these questions.
Handbook of Generalized Convexity and Generalized Monotonicity
Handbook of Generalized Convexity and Generalized Monotonicity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Generalized Convexity and Generalized Monotonicity write by Nicolas Hadjisavvas. This book was released on 2006-01-16. Handbook of Generalized Convexity and Generalized Monotonicity available in PDF, EPUB and Kindle. Studies in generalized convexity and generalized monotonicity have significantly increased during the last two decades. Researchers with very diverse backgrounds such as mathematical programming, optimization theory, convex analysis, nonlinear analysis, nonsmooth analysis, linear algebra, probability theory, variational inequalities, game theory, economic theory, engineering, management science, equilibrium analysis, for example are attracted to this fast growing field of study. Such enormous research activity is partially due to the discovery of a rich, elegant and deep theory which provides a basis for interesting existing and potential applications in different disciplines. The handbook offers an advanced and broad overview of the current state of the field. It contains fourteen chapters written by the leading experts on the respective subject; eight on generalized convexity and the remaining six on generalized monotonicity.
