Описание: This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
Описание: Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives. Not all of these results rely necessarily on convexity and concavity; some of the results can guarantee that each local optimum is also a global optimum, giving these methods broader application to a wider class of problems. Hence, the focus of the first part of the book is concerned with several types of generalized convex sets and generalized concave functions. In addition to their applicability to nonconvex optimization, these convex sets and generalized concave functions are used in the book's second part, where decision-making and optimization problems under uncertainty are investigated. Uncertainty in the problem data often cannot be avoided when dealing with practical problems. Errors occur in real-world data for a host of reasons. However, over the last thirty years, the fuzzy set approach has proved to be useful in these situations. It is this approach to optimization under uncertainty that is extensively used and studied in the second part of this book. Typically, the membership functions of fuzzy sets involved in such problems are neither concave nor convex. They are, however, often quasiconcave or concave in some generalized sense. This opens possibilities for application of results on generalized concavity to fuzzy optimization. Despite this obvious relation, applying the interface of these two areas has been limited to date. It is hoped that the combination of ideas and results from the field of generalized concavity on the one hand and fuzzy optimization on the other hand outlined and discussed in Generalized Concavity in Fuzzy Optimization and Decision Analysis will be of interest to both communities. Our aim is to broaden the classes of problems that the combination of these two areas can satisfactorily address and solve.
Описание: The goal of the Encyclopedia of Operations Research and Management Science is to provide decision makers and problem solvers in business, industry, government and academia with a comprehensive overview of the wide range of ideas, methodologies, and synergistic forces that combine to form the pre-eminent decision-aiding fields of operations research and management science (OR/MS). The Second Edition is a further extension of this goal - which through addressing and solving a wide range of problems - OR/MS methodologies continue to flourish and grow. This is a field that is used extensively throughout the applied sciences, and, because of this, the new edition has added topics in the following areas: Analytic Network Process; Call Centers; Certainty Equivalence; Comb. Optimization by Simulated CE; Computational Organization; Constraint Programming; Data Mining; Degeneracy Graphs; Economic Order Q Extensions; Educational Issues in B-Schools; Electronic Commerce; Financial Markets; Global Climate Change; Hidden Markov Models; History of Early British OR; Implementation for Public Sector; Info Tech Benefits; Interactive Multi-Objective Math. Programming; Knapsacks with Nonlinearities; Little's Law in Distribution Form; Military Ops Other than War; Multivariate Quality Control; Perturbation Analysis; Simulation Metamodeling; Simulation Optimization; Supply Chain Management; Theory of Constraints; Timetabling. The intended audience of the Encyclopedia of Operations Research and Management Science is technically diverse and wide; it includes anyone concerned with the science, techniques, and ideas of how one makes decisions. As this audience encompasses many professions, educational backgrounds and skills, we were attentive to the form, format and scope of the articles. Thus, the articles are designed to serve as initial sources of information for all such readers, with special emphasis on the needs of students. Each article provides a background or history of the topic, describes relevant applications, overviews present and future trends, and lists seminal and current references. To allow for variety in exposition, the authors were instructed to present their material from both research and applied perspectives. The Encyclopedia has been organized into specific topics that collectively encompass the foundations, applications, and emerging elements of this ever-changing field. We also wanted to establish the close associations that OR/MS has maintained with other scientific endeavors, with special emphasis on its symbiotic relationships to computer science, information processing, and mathematics. Based on our broad view of OR/MS, we commissioned 228 major expository articles and complemented them by numerous entries: descriptions, discussions, definitions, and abbreviations. The connections between topics are highlighted by an entry's final `See' statement, as appropriate. Each topical article provides a background or history of the topic, describes relevant applications, overviews present and future trends, and lists seminal and current references. Of significant importance is that each contributed topic has been authored by a leading authoritative researcher on that particular topic.
Автор: Ciriani T.A., Fasano G., Gliozzi S., Tadei R. Название: Operations Research in Space and Air ISBN: 1402012187 ISBN-13(EAN): 9781402012181 Издательство: Springer Рейтинг: Цена: 36977 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The material within the book provides both the basic backgrounds for the novice modeler and a useful reference for experienced modelers. It represents the exploitation of recent mathematical tools and methods to solve large optimization models with contributions from leading edge American and European companies and Universities. Audience: Students, researchers and OR practitioners will appreciate the details of the modeling techniques, the processes that have been implemented and the computational results that demonstrate the benefits in applying OR in the Space and Airline industries.
Описание: The first section of Computational Modeling and Problem Solving in the Networked World focuses on the reflective and integrative thinking that is critical to contemporary science - "Perspectives on Computation." This section presents philosophical perspectives on computation, covering a variety of traditional and newer modeling, solving, and explaining mathematical models. The "Machine Learning & Heuristics" section includes articles that study machine learning and computational heuristics, and is followed by the "Algorithm Performance" section that addresses issues in performance testing of solution algorithms and heuristics. These two sections demonstrate the richness of thinking about solution methods that is made possible by the confluence of Computer Science and Operations Research. The final "Applications" section demonstrates how these and other methods at the interface can be used to help solve problems in the real world, covering e-commerce, workflow, electronic negotiation, music, parallel computation, and telecommunications.
Описание: Presents basic concepts of optimization techniques and their applications in a comprehensive way and works as a companion and guide for problem-solving techniques. Each concept is discussed from the basics and supported by mathematical background and examples. Suitable for individual or group learning, this book offers end-of-chapter problems.
Описание: Gives the reader a conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques. This work provides insight into the type of research questions handled by each technique and the considerations in applying each one. It is targeted for graduates in wildlife biology.
Автор: Krim Название: Statistics and Analysis of Shapes ISBN: 0817643761 ISBN-13(EAN): 9780817643768 Издательство: Springer Рейтинг: Цена: 12021 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines.With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms, available in a single resource, without the typical quagmire of vast information scattered over a wide body of literature. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.
Описание: This book is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. It provides an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions.
Описание: Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key
concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in
Stochastic Operations Research (RASOR 2005), August 25-26, 2005, Canmore, Alberta, Canada.
In particular, the book focusses on models in stochastic operations
research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models.
Описание: Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in such research are optimization and uncertainty. This book contains papers from the International Workshop on Recent Advances in Stochastic Operations Research (2007 RASOR Nanzan).
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru