Aggregation in Large-Scale Optimization, I. Litvinchev; Vladimir Tsurkov
Автор: Banisch, Sven Название: Markov chain aggregation for agent-based models ISBN: 3319248758 ISBN-13(EAN): 9783319248752 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.
Andreas B?rmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
Автор: Gianni Pillo; Massimo Roma Название: Large-Scale Nonlinear Optimization ISBN: 1441940146 ISBN-13(EAN): 9781441940148 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.
Автор: Richard Kipp Martin Название: Large Scale Linear and Integer Optimization: A Unified Approach ISBN: 1461372585 ISBN-13(EAN): 9781461372585 Издательство: Springer Рейтинг: Цена: 465840.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a textbook about linear and integer linear optimization. The major goal of the book is to develop the theory of linear and integer linear optimization in a unified manner and then demonstrate how to use this theory in a modern computing environment to solve very large real world problems.
Автор: Daniela Sanchez; Patricia Melin Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation ISBN: 331928861X ISBN-13(EAN): 9783319288611 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;
Автор: Haya Shajaiah; Ahmed Abdelhadi; Charles Clancy Название: Resource Allocation with Carrier Aggregation in Cellular Networks ISBN: 3319605399 ISBN-13(EAN): 9783319605395 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces an efficient resource management approach for future spectrum sharing systems. The book focuses on providing an optimal resource allocation framework based on carrier aggregation to allocate multiple carriers` resources efficiently among mobile users.
Автор: Lorenz T. Biegler; Thomas F. Coleman; Andrew R. Co Название: Large-Scale Optimization with Applications ISBN: 1461273560 ISBN-13(EAN): 9781461273561 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This IMA Volume in Mathematics and its Applications LARGE-SCALE OPTIMIZATION WITH APPLICATIONS, PART II: OPTIMAL DESIGN AND CONTROL is one of the three volumes based on the proceedings of the 1995 IMA three- week Summer Program on "Large-Scale Optimization with Applications to Inverse Problems, Optimal Control and Design, and Molecular and Struc- tural Optimization." The other two related proceedings appeared as Vol- ume 92: Large-Scale Optirpization with Applications, Part I: Optimization in Inverse Problems and Design and Volume 94: Large-Scale Optimization with Applications, Part III: Molecular Structure and Optimization. We would like to thank Lorenz T. Biegler, Thomas F. Coleman, An- drew R. Conn, and Fadil N. Santosa for their excellent work as organizers of the meetings and for editing the proceedings. We also take this opportunity to thank the National Science Founda- tion (NSF), the Department of Energy (DOE), and the Alfred P. Sloan support made the workshops possible.
Автор: Bernadette Bouchon-Meunier Название: Aggregation and Fusion of Imperfect Information ISBN: 3790810487 ISBN-13(EAN): 9783790810486 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability of knowledge is imperfect.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Автор: William W. Hager; D.W. Hearn; Panos M. Pardalos Название: Large Scale Optimization ISBN: 1461336341 ISBN-13(EAN): 9781461336341 Издательство: Springer Рейтинг: Цена: 231990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied Optimization, was held at the University of Florida. Accurate modeling of scientific problems often leads to the formulation of large- scale optimization problems involving thousands of continuous and/or discrete vari- ables.
Автор: Lorenz T. Biegler; Thomas Coleman; Andrew r. Conn; Название: Large-Scale Optimization with Applications ISBN: 0387982884 ISBN-13(EAN): 9780387982885 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The major themes of the volumes on "Large-Scale Optimization with Applications" include an assessment of the state of the art in optimization algorithms, as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equations.
Автор: Martin Gr?tschel; Sven O. Krumke; Joerg Rambau Название: Online Optimization of Large Scale Systems ISBN: 3642076335 ISBN-13(EAN): 9783642076336 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Opti- mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce- dures. , problems of the following type: - An elevator cannot know all transportation requests in advance.
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