Post Optimal Analysis In Linear Semi Infinite Optimization


Post Optimal Analysis In Linear Semi Infinite Optimization
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Post Optimal Analysis In Linear Semi Infinite Optimization


Post Optimal Analysis In Linear Semi Infinite Optimization
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Author : Miguel A. Goberna
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-06

Post Optimal Analysis In Linear Semi Infinite Optimization written by Miguel A. Goberna and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-06 with Business & Economics categories.


Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization problems where the dimension of the decision space or the number of constraints is infinite. The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide readers with criteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along with the available software. This work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.



Post Optimal Analysis In Linear Semi Infinite Optimization


Post Optimal Analysis In Linear Semi Infinite Optimization
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Author : Miguel A. Goberna
language : en
Publisher:
Release Date : 2014-01-31

Post Optimal Analysis In Linear Semi Infinite Optimization written by Miguel A. Goberna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-31 with categories.




Functional Analysis And Continuous Optimization


Functional Analysis And Continuous Optimization
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Author : José M. Amigó
language : en
Publisher: Springer Nature
Release Date : 2023-07-01

Functional Analysis And Continuous Optimization written by José M. Amigó and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-01 with Mathematics categories.


The book includes selected contributions presented at the "International Meeting on Functional Analysis and Continuous Optimization" held in Elche (Spain) on June 16–17, 2022. Its contents cover very recent results in functional analysis, continuous optimization and the interplay between these disciplines. Therefore, this book showcases current research on functional analysis and optimization with individual contributions, as well as new developments in both areas. As a result, the reader will find useful information and stimulating ideas.



Fundamentals Of Convex Analysis And Optimization


Fundamentals Of Convex Analysis And Optimization
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Author : Rafael Correa
language : en
Publisher: Springer Nature
Release Date : 2023-07-11

Fundamentals Of Convex Analysis And Optimization written by Rafael Correa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-11 with Business & Economics categories.


This book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions. It presents an original and systematic treatment of convex analysis, covering standard results and improved calculus rules in subdifferential analysis. The tools supplied in the text allow a direct approach to the mathematical foundations of convex optimization, in particular to optimality and duality theory. Other applications in the book concern convexification processes in optimization, non-convex integration of the Fenchel subdifferential, variational characterizations of convexity, and the study of Chebychev sets. At the same time, the underlying geometrical meaning of all the involved concepts and operations is highlighted and duly emphasized. A notable feature of the book is its unifying methodology, as well as the novelty of providing an alternative or complementary view to the traditional one in which the discipline is presented to students and researchers. This textbook can be used for courses on optimization, convex and variational analysis, addressed to graduate and post-graduate students of mathematics, and also students of economics and engineering. It is also oriented to provide specific background for courses on optimal control, data science, operations research, economics (game theory), etc. The book represents a challenging and motivating development for those experts in functional analysis, convex geometry, and any kind of researchers who may be interested in applications of their work.



Linear Optimization And Approximation


Linear Optimization And Approximation
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Author : Klaus Glashoff
language : en
Publisher:
Release Date : 1983

Linear Optimization And Approximation written by Klaus Glashoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Duality theory (Mathematics). categories.




Linear Semi Infinite Optimization


Linear Semi Infinite Optimization
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Author : Miguel A. Goberna
language : en
Publisher:
Release Date : 1998-03-11

Linear Semi Infinite Optimization written by Miguel A. Goberna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-11 with Mathematics categories.


A linear semi-infinite program is an optimization problem with linear objective functions and linear constraints in which either the number of unknowns or the number of constraints is finite. The many direct applications of linear semi-infinite optimization (or programming) have prompted considerable and increasing research effort in recent years. The authors' aim is to communicate the main theoretical ideas and applications techniques of this fascinating area, from the perspective of convex analysis. The four sections of the book cover: * Modelling with primal and dual problems - the primal problem, space of dual variables, the dual problem. * Linear semi-infinite systems - existence theorems, alternative theorems, redundancy phenomena, geometrical properties of the solution set. * Theory of linear semi-infinite programming - optimality, duality, boundedness, perturbations, well-posedness. * Methods of linear semi-infinite programming - an overview of the main numerical methods for primal and dual problems. Exercises and examples are provided to illustrate both theory and applications. The reader is assumed to be familiar with elementary calculus, linear algebra and general topology. An appendix on convex analysis is provided to ensure that the book is self-contained. Graduate students and researchers wishing to gain a deeper understanding of the main ideas behind the theory of linear optimization will find this book to be an essential text.



Variational Analysis And Applications


Variational Analysis And Applications
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Author : Boris S. Mordukhovich
language : en
Publisher: Springer
Release Date : 2018-08-02

Variational Analysis And Applications written by Boris S. Mordukhovich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-02 with Mathematics categories.


Building on fundamental results in variational analysis, this monograph presents new and recent developments in the field as well as selected applications. Accessible to a broad spectrum of potential readers, the main material is presented in finite-dimensional spaces. Infinite-dimensional developments are discussed at the end of each chapter with comprehensive commentaries which emphasize the essence of major results, track the genesis of ideas, provide historical comments, and illuminate challenging open questions and directions for future research. The first half of the book (Chapters 1–6) gives a systematic exposition of key concepts and facts, containing basic material as well as some recent and new developments. These first chapters are particularly accessible to masters/doctoral students taking courses in modern optimization, variational analysis, applied analysis, variational inequalities, and variational methods. The reader’s development of skills will be facilitated as they work through each, or a portion of, the multitude of exercises of varying levels. Additionally, the reader may find hints and references to more difficult exercises and are encouraged to receive further inspiration from the gems in chapter commentaries. Chapters 7–10 focus on recent results and applications of variational analysis to advanced problems in modern optimization theory, including its hierarchical and multiobjective aspects, as well as microeconomics, and related areas. It will be of great use to researchers and professionals in applied and behavioral sciences and engineering.



Bi Level Strategies In Semi Infinite Programming


Bi Level Strategies In Semi Infinite Programming
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Author : Oliver Stein
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-08-31

Bi Level Strategies In Semi Infinite Programming written by Oliver Stein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-31 with Mathematics categories.


This is the first book that exploits the bi-level structure of semi-infinite programming systematically. It highlights topological and structural aspects of general semi-infinite programming, formulates powerful optimality conditions, which take this structure into account, and gives a conceptually new bi-level solution method. The results are motivated and illustrated by a number of problems from engineering and economics that give rise to semi-infinite models, including (reverse) Chebyshev approximation, minimax problems, robust optimization, design centering, defect minimization problems for operator equations, and disjunctive programming. Audience: The book is suitable for graduate students and researchers in the fields of optimization and operations research.



Linear Optimization And Approximation


Linear Optimization And Approximation
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Author : K. Glashoff
language : en
Publisher: Springer
Release Date : 1983-04-13

Linear Optimization And Approximation written by K. Glashoff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-04-13 with Science categories.


A linear optimization problem is the task of minimizing a linear real-valued function of finitely many variables subject to linear con straints; in general there may be infinitely many constraints. This book is devoted to such problems. Their mathematical properties are investi gated and algorithms for their computational solution are presented. Applications are discussed in detail. Linear optimization problems are encountered in many areas of appli cations. They have therefore been subject to mathematical analysis for a long time. We mention here only two classical topics from this area: the so-called uniform approximation of functions which was used as a mathematical tool by Chebyshev in 1853 when he set out to design a crane, and the theory of systems of linear inequalities which has already been studied by Fourier in 1823. We will not treat the historical development of the theory of linear optimization in detail. However, we point out that the decisive break through occurred in the middle of this century. It was urged on by the need to solve complicated decision problems where the optimal deployment of military and civilian resources had to be determined. The availability of electronic computers also played an important role. The principal computational scheme for the solution of linear optimization problems, the simplex algorithm, was established by Dantzig about 1950. In addi tion, the fundamental theorems on such problems were rapidly developed, based on earlier published results on the properties of systems of linear inequalities.



Postoptimal Analyses Parametric Programming And Related Topics


Postoptimal Analyses Parametric Programming And Related Topics
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Author : Tomas Gal
language : en
Publisher: Walter de Gruyter
Release Date : 2010-09-03

Postoptimal Analyses Parametric Programming And Related Topics written by Tomas Gal and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-03 with Computers categories.


Postoptimal Analyses, Parametric Programming, and Related Topics: Degeneracy, Multicriteria Decision Making Redundancy.