Quadratic Programming and Affine Variational Inequalities

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Publisher : Springer Science & Business Media
ISBN 13 : 0387242783
Total Pages : 353 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Quadratic Programming and Affine Variational Inequalities by : Gue Myung Lee

Download or read book Quadratic Programming and Affine Variational Inequalities written by Gue Myung Lee and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quadratic programs and affine variational inequalities represent two fundamental, closely-related classes of problems in the t,heories of mathematical programming and variational inequalities, resp- tively. This book develops a unified theory on qualitative aspects of nonconvex quadratic programming and affine variational inequ- ities. The first seven chapters introduce the reader step-by-step to the central issues concerning a quadratic program or an affine variational inequality, such as the solution existence, necessary and sufficient conditions for a point to belong to the solution set, and properties of the solution set. The subsequent two chapters discuss briefly two concrete nlodels (linear fractional vector optimization and the traffic equilibrium problem) whose analysis can benefit a lot from using the results on quadratic programs and affine variational inequalities. There are six chapters devoted to the study of conti- ity and/or differentiability properties of the characteristic maps and functions in quadratic programs and in affine variational inequa- ties where all the components of the problem data are subject to perturbation. Quadratic programs and affine variational inequa- ties under linear perturbations are studied in three other chapters. One special feature of the presentation is that when a certain pr- erty of a characteristic map or function is investigated, we always try first to establish necessary conditions for it to hold, then we go on to study whether the obtained necessary conditions are suf- cient ones. This helps to clarify the structures of the two classes of problems under consideration.

Error Bounds and Strong Upper Semicontinuity for Monotone Affine Variational Inequalit[i]es

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ISBN 13 :
Total Pages : 22 pages
Book Rating : 4.:/5 (265 download)

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Book Synopsis Error Bounds and Strong Upper Semicontinuity for Monotone Affine Variational Inequalit[i]es by : Michael C. Ferris

Download or read book Error Bounds and Strong Upper Semicontinuity for Monotone Affine Variational Inequalit[i]es written by Michael C. Ferris and published by . This book was released on 1991 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Global error bounds for possibly degenerate or nondegenerate monotone affine variational inequality problems are given. The error bounds are on an arbitrary point and are in terms of the distance between the given point and a solution to a convex quadratic program. For the monotone linear complementarity problem the convex program is that of minimizing a quadratic function on the nonegative orthant. These bounds may form the basis of an iterative quadratic programming procedure for solving affine variational inequality problems. A strong upper semicontinuity result is also obtained which may be useful for finitely terminating any convergent algorithm by periodically solving a linear program."

Optimal Quadratic Programming Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 0387848061
Total Pages : 293 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Optimal Quadratic Programming Algorithms by : Zdenek Dostál

Download or read book Optimal Quadratic Programming Algorithms written by Zdenek Dostál and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, in a sense optimal, i.e., they can solve important classes of problems at a cost proportional to the number of unknowns. For each algorithm presented, the book details its classical predecessor, describes its drawbacks, introduces modifications that improve its performance, and demonstrates these improvements through numerical experiments. This self-contained monograph can serve as an introductory text on quadratic programming for graduate students and researchers. Additionally, since the solution of many nonlinear problems can be reduced to the solution of a sequence of QP problems, it can also be used as a convenient introduction to nonlinear programming.

Optimal Quadratic Programming Algorithms

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Publisher : Springer
ISBN 13 : 9780387571447
Total Pages : 0 pages
Book Rating : 4.5/5 (714 download)

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Book Synopsis Optimal Quadratic Programming Algorithms by : Zdenek Dostál

Download or read book Optimal Quadratic Programming Algorithms written by Zdenek Dostál and published by Springer. This book was released on 2008-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, in a sense optimal, i.e., they can solve important classes of problems at a cost proportional to the number of unknowns. For each algorithm presented, the book details its classical predecessor, describes its drawbacks, introduces modifications that improve its performance, and demonstrates these improvements through numerical experiments. This self-contained monograph can serve as an introductory text on quadratic programming for graduate students and researchers. Additionally, since the solution of many nonlinear problems can be reduced to the solution of a sequence of QP problems, it can also be used as a convenient introduction to nonlinear programming.

Nonlinear Programming and Variational Inequality Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 147572991X
Total Pages : 343 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Nonlinear Programming and Variational Inequality Problems by : Michael Patriksson

Download or read book Nonlinear Programming and Variational Inequality Problems written by Michael Patriksson and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two algorithms may be easily related and compared through its use. This framework is particular in that it covers a vast number of methods, while still being fairly detailed; the level of abstraction is in fact the same as that of the original problem statement.

Complementarity and Variational Problems

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Publisher : SIAM
ISBN 13 : 9780898713916
Total Pages : 494 pages
Book Rating : 4.7/5 (139 download)

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Book Synopsis Complementarity and Variational Problems by : Michael C. Ferris

Download or read book Complementarity and Variational Problems written by Michael C. Ferris and published by SIAM. This book was released on 1997-01-01 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: After more than three decades of research, the subject of complementarity problems and its numerous extensions has become a well-established and fruitful discipline within mathematical programming and applied mathematics. Sources of these problems are diverse and span numerous areas in engineering, economics, and the sciences. Includes refereed articles.

Fixed Point Theory and Applications

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Publisher : Nova Publishers
ISBN 13 : 9781590338902
Total Pages : 240 pages
Book Rating : 4.3/5 (389 download)

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Book Synopsis Fixed Point Theory and Applications by : Yeol Je Cho

Download or read book Fixed Point Theory and Applications written by Yeol Je Cho and published by Nova Publishers. This book was released on 2004 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fixed Point Theory & Applications, Volume 5

Finite-Dimensional Variational Inequalities and Complementarity Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 0387218149
Total Pages : 724 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Finite-Dimensional Variational Inequalities and Complementarity Problems by : Francisco Facchinei

Download or read book Finite-Dimensional Variational Inequalities and Complementarity Problems written by Francisco Facchinei and published by Springer Science & Business Media. This book was released on 2007-06-14 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is part one of a two-volume work presenting a comprehensive treatment of the finite-dimensional variational inequality and complementarity problem. It covers the basic theory of finite dimensional variational inequalities and complementarity problems. Coverage includes abundant exercises as well as an extensive bibliography. The book will be an enduring reference on the subject and provide the foundation for its sustained growth.

Computational Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461551978
Total Pages : 266 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Computational Optimization by : Jong-Shi Pang

Download or read book Computational Optimization written by Jong-Shi Pang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Optimization: A Tribute to Olvi Mangasarian serves as an excellent reference, providing insight into some of the most challenging research issues in the field. This collection of papers covers a wide spectrum of computational optimization topics, representing a blend of familiar nonlinear programming topics and such novel paradigms as semidefinite programming and complementarity-constrained nonlinear programs. Many new results are presented in these papers which are bound to inspire further research and generate new avenues for applications. An informal categorization of the papers includes: Algorithmic advances for special classes of constrained optimization problems Analysis of linear and nonlinear programs Algorithmic advances B- stationary points of mathematical programs with equilibrium constraints Applications of optimization Some mathematical topics Systems of nonlinear equations.

Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1475763883
Total Pages : 440 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods by : Masao Fukushima

Download or read book Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods written by Masao Fukushima and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of "reformulation" has long been playing an important role in mathematical programming. A classical example is the penalization technique in constrained optimization that transforms the constraints into the objective function via a penalty function thereby reformulating a constrained problem as an equivalent or approximately equivalent unconstrained problem. More recent trends consist of the reformulation of various mathematical programming prob lems, including variational inequalities and complementarity problems, into equivalent systems of possibly nonsmooth, piecewise smooth or semismooth nonlinear equations, or equivalent unconstrained optimization problems that are usually differentiable, but in general not twice differentiable. Because of the recent advent of various tools in nonsmooth analysis, the reformulation approach has become increasingly profound and diversified. In view of growing interests in this active field, we planned to organize a cluster of sessions entitled "Reformulation - Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods" in the 16th International Symposium on Mathematical Programming (ismp97) held at Lausanne EPFL, Switzerland on August 24-29, 1997. Responding to our invitation, thirty-eight people agreed to give a talk within the cluster, which enabled us to organize thirteen sessions in total. We think that it was one of the largest and most exciting clusters in the symposium. Thanks to the earnest support by the speakers and the chairpersons, the sessions attracted much attention of the participants and were filled with great enthusiasm of the audience.

Recent Advances in Nonsmooth Optimization

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Publisher : World Scientific
ISBN 13 : 9789810222659
Total Pages : 488 pages
Book Rating : 4.2/5 (226 download)

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Book Synopsis Recent Advances in Nonsmooth Optimization by : Dingzhu Du

Download or read book Recent Advances in Nonsmooth Optimization written by Dingzhu Du and published by World Scientific. This book was released on 1995 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonsmooth optimization covers the minimization or maximization of functions which do not have the differentiability properties required by classical methods. The field of nonsmooth optimization is significant, not only because of the existence of nondifferentiable functions arising directly in applications, but also because several important methods for solving difficult smooth problems lead directly to the need to solve nonsmooth problems, which are either smaller in dimension or simpler in structure.This book contains twenty five papers written by forty six authors from twenty countries in five continents. It includes papers on theory, algorithms and applications for problems with first-order nondifferentiability (the usual sense of nonsmooth optimization) second-order nondifferentiability, nonsmooth equations, nonsmooth variational inequalities and other problems related to nonsmooth optimization.

Splitting Algorithm to Decomposition in Variational Inequalities and Convex Programming, Further Applications of a

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Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis Splitting Algorithm to Decomposition in Variational Inequalities and Convex Programming, Further Applications of a by : Paul Tseng

Download or read book Splitting Algorithm to Decomposition in Variational Inequalities and Convex Programming, Further Applications of a written by Paul Tseng and published by . This book was released on 1989 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Neural Networks – ISNN 2014

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Publisher : Springer
ISBN 13 : 3319124366
Total Pages : 661 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Neural Networks – ISNN 2014 by : Zhigang Zeng

Download or read book Advances in Neural Networks – ISNN 2014 written by Zhigang Zeng and published by Springer. This book was released on 2014-11-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.

Piecewise Linear Homotopies and Affine Variational Inequalities

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Publisher :
ISBN 13 :
Total Pages : 286 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Piecewise Linear Homotopies and Affine Variational Inequalities by : Menglin Cao

Download or read book Piecewise Linear Homotopies and Affine Variational Inequalities written by Menglin Cao and published by . This book was released on 1994 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Optimization and Related Topics

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Publisher : Springer Science & Business Media
ISBN 13 : 1475732260
Total Pages : 484 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Nonlinear Optimization and Related Topics by : Gianni Pillo

Download or read book Nonlinear Optimization and Related Topics written by Gianni Pillo and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the edited texts of the lectures presented at the Workshop on Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of the "E. Majorana" Centre for Scientific Culture, June 23 -July 2, 1998. In the tradition of these meetings, the main purpose was to review and discuss recent advances and promising research trends concerning theory, algorithms and innovative applications in the field of Nonlinear Optimization, and of related topics such as Convex Optimization, Nonsmooth Optimization, Variational Inequalities and Complementarity Problems. The meeting was attended by 83 people from 21 countries. Besides the lectures, several formal and informal discussions took place. The result was a wide and deep knowledge of the present research tendencies in the field. We wish to express our appreciation for the active contribution of all the par ticipants in the meeting. Our gratitude is due to the Ettore Majorana Centre in Erice, which offered its facilities and rewarding environment: its staff was certainly instrumental for the success of the meeting. Our gratitude is also due to Francisco Facchinei and Massimo Roma for the effort and time devoted as members of the Organising Committee. We are indebted to the Italian National Research Council, and in particular to the Group on Functional Analysis and its Applications and to the Committees on Engineering Sciences and on Information Sciences and Technolo gies for their financial support. Finally, we address our thanks to Kluwer Academic Publishers for having offered to publish this volume.

Innovation, Engineering and Entrepreneurship

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Publisher : Springer
ISBN 13 : 3319913344
Total Pages : 1183 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Innovation, Engineering and Entrepreneurship by : José Machado

Download or read book Innovation, Engineering and Entrepreneurship written by José Machado and published by Springer. This book was released on 2018-06-02 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents endeavors to join synergies in order to create added value for society, using the latest scientific knowledge to boost technology transfer from academia to industry. It potentiates the foundations for the creation of knowledge- and entrepreneurial cooperation networks involving engineering, innovation, and entrepreneurship stakeholders. The Regional HELIX 2018 conference was organized at the University of Minho’s School of Engineering by the MEtRICs and Algoritmi Research Centers, and took place in Guimarães, Portugal, from June 27th to 29th, 2018. After a rigorous peer-review process, 160 were accepted for publication, covering a wide range of topics, including Control, Automation and Robotics; Mechatronics Design, Medical Devices and Wellbeing; Cyber-Physical Systems, IoT and Industry 4.0; Innovations in Industrial Context and Advanced Manufacturing; New Trends in Mechanical Systems Development; Advanced Materials and Innovative Applications; Waste to Energy and Sustainable Environment; Operational Research and Industrial Mathematics; Innovation and Collaborative Arrangements; Entrepreneurship and Internationalization; and Oriented Education for Innovation, Engineering and/or Entrepreneurship.

Modern Nonconvex Nondifferentiable Optimization

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Publisher : SIAM
ISBN 13 : 161197674X
Total Pages : 792 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Modern Nonconvex Nondifferentiable Optimization by : Ying Cui

Download or read book Modern Nonconvex Nondifferentiable Optimization written by Ying Cui and published by SIAM. This book was released on 2021-12-02 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Starting with the fundamentals of classical smooth optimization and building on established convex programming techniques, this research monograph presents a foundation and methodology for modern nonconvex nondifferentiable optimization. It provides readers with theory, methods, and applications of nonconvex and nondifferentiable optimization in statistical estimation, operations research, machine learning, and decision making. A comprehensive and rigorous treatment of this emergent mathematical topic is urgently needed in today’s complex world of big data and machine learning. This book takes a thorough approach to the subject and includes examples and exercises to enrich the main themes, making it suitable for classroom instruction. Modern Nonconvex Nondifferentiable Optimization is intended for applied and computational mathematicians, optimizers, operations researchers, statisticians, computer scientists, engineers, economists, and machine learners. It could be used in advanced courses on optimization/operations research and nonconvex and nonsmooth optimization.