Optimization, Learning, and Control for Interdependent Complex Networks, M. Hadi Amini

Автор: M. Hadi Amini; Kianoosh G. Boroojeni; S.S. Iyengar
Название: Sustainable Interdependent Networks
ISBN: 3030089851 ISBN-13(EAN): 9783030089856
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Поставка под заказ.
Описание: This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.

Автор: Wei Wei, Wang Jianhui
Название: Modeling and Optimization of Interdependent Energy Infrastructures
ISBN: 3030259609 ISBN-13(EAN): 9783030259600
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network.

Автор: Wei Wei, Wang Jianhui
Название: Modeling and Optimization of Interdependent Energy Infrastructures
ISBN: 3030259579 ISBN-13(EAN): 9783030259570
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network.

Автор: M. Hadi Amini; Kianoosh G. Boroojeni; S.S. Iyengar
Название: Sustainable Interdependent Networks
ISBN: 3319744119 ISBN-13(EAN): 9783319744117
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.

Автор: M. Hadi Amini; Kianoosh G. Boroojeni; S. S. Iyenga
Название: Sustainable Interdependent Networks II
ISBN: 3319989227 ISBN-13(EAN): 9783319989228
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides the readers with a comprehensive insight to understand an in-depth big picture of smart cities as a thorough example of interdependent large-scale networks in both theory and application aspects. The contributors specify the importance and position of the interdependent networks in the context of developing the sustainable smart cities and provide a comprehensive investigation of recently developed optimization methods for large-scale networks. There has been an emerging concern regarding the optimal operation of power and transportation networks. In the second volume of Sustainable Interdependent Networks book, we focus on the interdependencies of these two networks, optimization methods to deal with the computational complexity of them, and their role in future smart cities. We further investigate other networks, such as communication networks, that indirectly affect the operation of power and transportation networks. Our reliance on these networks as global platforms for sustainable development has led to the need for developing novel means to deal with arising issues. The considerable scale of such networks, due to the large number of buses in smart power grids and the increasing number of electric vehicles in transportation networks, brings a large variety of computational complexity and optimization challenges. Although the independent optimization of these networks lead to locally optimum operation points, there is an exigent need to move towards obtaining the globally-optimum operation point of such networks while satisfying the constraints of each network properly.The book is suitable for senior undergraduate students, graduate students interested in research in multidisciplinary areas related to future sustainable networks, and the researchers working in the related areas. It also covers the application of interdependent networks which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.

Автор: Wester C. H. Schoonenberg; Inas S. Khayal; Amro M.
Название: A Hetero-functional Graph Theory for Modeling Interdependent Smart City Infrastructure
ISBN: 3319993003 ISBN-13(EAN): 9783319993003
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cities have always played a prominent role in the prosperity of civilization. Indeed, every great civilization we can think of is associated with the prominence of one or more thriving cities. And so understanding cities -- their inhabitants, their institutions, their infrastructure -- what they are and how they work independently and together -- is of fundamental importance to our collective growth as a human civilization. Furthermore, the 21st century “smart” city, as a result global climate change and large-scale urbanization, will emerge as a societal grand challenge. This book focuses on the role of interdependent infrastructure systems in such smart cities especially as it relates to timely and poignant questions about resilience and sustainability. In particular, the goal of this book is to present, in one volume, a consistent Hetero-Functional Graph Theoretic (HFGT) treatment of interdependent smart city infrastructures as an overarching application domain of engineering systems. This work may be contrasted to the growing literature on multi-layer networks, which despite significant theoretical advances in recent years, has modeling limitations that prevent their real-world application to interdependent smart city infrastructures of arbitrary topology. In contrast, this book demonstrates that HFGT can be applied extensibly to an arbitrary number of arbitrarily connected topologies of interdependent smart city infrastructures. It also integrates, for the first time, all six matrices of HFGT in a single system adjacency matrix. The book makes every effort to be accessible to a broad audience of infrastructure system practitioners and researchers (e.g. electric power system planners, transportation engineers, and hydrologists, etc.). Consequently, the book has extensively visualized the graph theoretic concepts for greater intuition and clarity. Nevertheless, the book does require a common methodological base of its readers and directs itself to the Model-Based Systems Engineering (MBSE) community and the Network Science Community (NSC). To the MBSE community, we hope that HFGT will be accepted as a quantification of many of the structural concepts found in model-based systems engineering languages like SysML. To the NSC, we hope to present a new view as how to construct graphs with fundamentally different meaning and insight. Finally, it is our hope that HFGT serves to overcome many of the theoretical and modeling limitations that have hindered our ability to systematically understand the structure and function of smart cities.

Автор: Massih-Reza Amini; Nicolas Usunier
Название: Learning with Partially Labeled and Interdependent Data
ISBN: 331935390X ISBN-13(EAN): 9783319353906
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data.

Автор: Juntao Chen; Quanyan Zhu
Название: A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design
ISBN: 3030234436 ISBN-13(EAN): 9783030234430
Издательство: Springer
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Цена: 46570.00 T
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Описание: This brief introduces game- and decision-theoretical techniques for the analysis and design of resilient interdependent networks. It unites game and decision theory with network science to lay a system-theoretical foundation for understanding the resiliency of interdependent and heterogeneous network systems.The authors pay particular attention to critical infrastructure systems, such as electric power, water, transportation, and communications. They discuss how infrastructure networks are becoming increasingly interconnected as the integration of Internet of Things devices, and how a single-point failure in one network can propagate to other infrastructures, creating an enormous social and economic impact. The specific topics in the book include:· static and dynamic meta-network resilience game analysis and design;· optimal control of interdependent epidemics spreading over complex networks; and· applications to secure and resilient design of critical infrastructures.These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors then discuss the future challenges and directions in the analysis and design of interdependent networks and explain the role of multi-disciplinary research has in computer science, engineering, public policy, and social sciences fields of study.The brief introduces new application areas in mathematics, economics, and system and control theory, and will be of interest to researchers and practitioners looking for new approaches to assess and mitigate risks in their systems and enhance their network resilience. A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design also has self-contained chapters, which allows for multiple levels of reading by anyone with an interest in game and decision theory and network science.

Автор: Massih-Reza Amini; Nicolas Usunier
Название: Learning with Partially Labeled and Interdependent Data
ISBN: 3319157256 ISBN-13(EAN): 9783319157252
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data.

Автор: My T. Thai; Panos Pardalos
Название: Handbook of Optimization in Complex Networks
ISBN: 1489999671 ISBN-13(EAN): 9781489999672
Издательство: Springer
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Цена: 181670.00 T
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Описание: This book explores the basic theory of complex networks, presenting new mathematical approaches and optimization techniques for designing and analyzing dynamic complex networks. Covers applications in communications, engineering, social networks and more.

Автор: My T. Thai; Panos Pardalos
Название: Handbook of Optimization in Complex Networks
ISBN: 1489999558 ISBN-13(EAN): 9781489999559
Издательство: Springer
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Цена: 181670.00 T
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Описание: This book reviews the theory of complex networks, and offers approaches and optimization techniques to design and analyze dynamic complex networks. Includes problems derived from cellular and molecular chemistry, operations research, epidemiology, and ecology.

Автор: Cichocki Andrzej, Lee Namgil, Oseledets Ivan
Название: Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives
ISBN: 168083276X ISBN-13(EAN): 9781680832761
Издательство: Неизвестно
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Цена: 91040.00 T
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Описание: This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8