Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book presents the mathematical methods for huge data and network analysis.The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named 'Advanced Mathematical Science for Mobility Society' was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.This book contains three main contents.1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility societyThe first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Advanced Mathematical Science for Mobility Society | Kazushi Ikeda (u. a.) | Taschenbuch | viii | Englisch | 2025 | Springer | EAN 9789819997749 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 38,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Apr 2024, 2024
ISBN 10: 9819997747 ISBN 13: 9789819997749
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 42,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book presents the mathematical methods for huge data and network analysis.The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named 'Advanced Mathematical Science for Mobility Society' was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.This book contains three main contents.1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility societyThe first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI. 215 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 64,77
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Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: moluna, Greven, Germania
EUR 39,60
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited access.Describes mathematical models of flowPresents mathematical methods for huge data and network analysisDiscusses algorithm for mobility societyKazush.
Lingua: Inglese
Editore: Springer, Springer Mär 2025, 2025
ISBN 10: 9819997747 ISBN 13: 9789819997749
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 42,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Part 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University.- Chapter 1. Advanced Mathematical Science for Mobility Society.- Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory.- Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems.- Part 3. Mathematical methods for huge data and network analysis.- Chapter 4. Eigenvalue Analysis in Mobility Data.- Chapter 5. Application of tensor network formalism for processing tensor data.- Chapter 6. Machine Learning Approach to Mobility Analysis.- Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains.- Part 4. Algorithm for mobility society.- Chapter 8. Control and optimization of one-way car-sharing systems.- Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.