Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.
In Giovanni Aurelio Augurello (1441–1524) and Renaissance Alchemy, Matteo Soranzo offers the first in-depth study of the life and works of Augurello, Italian alchemist, poet and art connoisseur from the time of Giorgione. Analysed, annotated and translated into English for the first time, Augurello’s poetry reveals a unique blend of late medieval alchemical doctrines, Northern Italian antiquarianism and Marsilio Ficino’s Platonism, enriching conventional narratives of Renaissance humanism.
This Element presents and critically examines the relationship between metaphysics and the sciences. Section 1 provides a brief introduction. Section 2 looks at the methodological issues that arise when metaphysics and science get into contact, which is a much-debated aspect of the larger dispute concerning philosophical 'naturalism' and 'anti-naturalism'. A taxonomy of possible views is offered. Section 3 looks more specifically at milder forms of naturalism about metaphysics, which attempt in various ways to make it 'continuous' with science while preserving some degree of autonomy for it. Section 4 adds some reflections on what might be regarded as the most pressing open problem when it comes to doing scientifically oriented metaphysics (but also when practising metaphysics or science in isolation): the problem concerning theory choice and the value of non-empirical factors in determining which explanation of certain phenomena should be preferred.
Dynamics and Optimal Control of Road Vehicles uniquely offers a unified treatment of tyre, car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle-related problems within a single book. This is a comprehensive and accessible text that emphasises the theoretical aspects of vehicular modelling and control. The book focuses on two major elements. The first is classical mechanics and its use in building vehicle and tyre dynamics models. The second focus is nonlinear optimal control, which is used to solve a range of minimum-time and minimum-fuel, as well as track curvature reconstruction problems. As is known classically, all of this material is bound together by the calculus of variations and stationary principles. The treatment of this material is supplemented with a number of examples that were designed to highlight obscurities and subtleties in the theory.
Enhanced e-book includes videos Many books have been written on modelling, simulation and control of four-wheeled vehicles (cars, in particular). However, due to the very specific and different dynamics of two-wheeled vehicles, it is very difficult to reuse previous knowledge gained on cars for two-wheeled vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles presents all of the unique features of two-wheeled vehicles, comprehensively covering the main methods, tools and approaches to address the modelling, simulation and control design issues. With contributions from leading researchers, this book also offers a perspective on the future trends in the field, outlining the challenges and the industrial and academic development scenarios. Extensive reference to real-world problems and experimental tests is also included throughout. Key features: The first book to cover all aspects of two-wheeled vehicle dynamics and control Collates cutting-edge research from leading international researchers in the field Covers motorcycle control – a subject gaining more and more attention both from an academic and an industrial viewpoint Covers modelling, simulation and control, areas that are integrated in two-wheeled vehicles, and therefore must be considered together in order to gain an insight into this very specific field of research Presents analysis of experimental data and reports on the results obtained on instrumented vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles is a comprehensive reference for those in academia who are interested in the state of the art of two-wheeled vehicles, and is also a useful source of information for industrial practitioners.
Enhanced e-book includes videos Many books have been written on modelling, simulation and control of four-wheeled vehicles (cars, in particular). However, due to the very specific and different dynamics of two-wheeled vehicles, it is very difficult to reuse previous knowledge gained on cars for two-wheeled vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles presents all of the unique features of two-wheeled vehicles, comprehensively covering the main methods, tools and approaches to address the modelling, simulation and control design issues. With contributions from leading researchers, this book also offers a perspective on the future trends in the field, outlining the challenges and the industrial and academic development scenarios. Extensive reference to real-world problems and experimental tests is also included throughout. Key features: The first book to cover all aspects of two-wheeled vehicle dynamics and control Collates cutting-edge research from leading international researchers in the field Covers motorcycle control – a subject gaining more and more attention both from an academic and an industrial viewpoint Covers modelling, simulation and control, areas that are integrated in two-wheeled vehicles, and therefore must be considered together in order to gain an insight into this very specific field of research Presents analysis of experimental data and reports on the results obtained on instrumented vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles is a comprehensive reference for those in academia who are interested in the state of the art of two-wheeled vehicles, and is also a useful source of information for industrial practitioners.
This thesis deals with specific features of the theory of holomorphic dynamics in dimension 2 and then sets out to study analogous questions in higher dimensions, e.g. dealing with normal forms for rigid germs, and examples of Kato 3-folds. The local dynamics of holomorphic maps around critical points is still not completely understood, in dimension 2 or higher, due to the richness of the geometry of the critical set for all iterates. In dimension 2, the study of the dynamics induced on a suitable functional space (the valuative tree) allows a classification of such maps up to birational conjugacy, reducing the problem to the special class of rigid germs, where the geometry of the critical set is simple. In some cases, from such dynamical data one can construct special compact complex surfaces, called Kato surfaces, related to some conjectures in complex geometry.
Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.
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