The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field. Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines.
This multi-authored book intends to comprehensively introduce and showcase recent advances as well...
The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field. Over the past decad...
This concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear hyperbolic and parabolic equations. Yet the topic of differential equations on graphs, ramified spaces, and more general network-like objects has recently gained significant momentum and, well beyond the confines of mathematics, there is a lively interdisciplinary discourse on all aspects of so-called complex networks. Such network-like structures can be found in virtually all branches of science, engineering and the humanities, and future...
This concise text is based on a series of lectures held only a few years ago and originally intended as an introduction to known results on linear ...
This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks.
This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint know...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness. This approach offers a possibility of both obtaining exact solutions to stochastic problems for a number of models of fluctuating parameters and constructing various asymptotic buildings.
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness. This approach ...
This pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recognized as a key to a more holistic education and greater problem solving skills, and is also reflected in the trend toward interdisciplinary approaches to research on complex phenomena. While the concepts and components of systems science will continue to be distributed throughout the various disciplines, undergraduate degree programs in systems science are also being developed, including at...
This pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and eng...
This book surveys the exciting new field of Networks of Networks, covering General Theory, Phenomenology, Applications and Risk Assessment. The authors show how the general paradigm applies in fields ranging from physiology to financial risk to transportation.
This book surveys the exciting new field of Networks of Networks, covering General Theory, Phenomenology, Applications and Risk Assessment. The author...
A collection of different lectures presented by experts in the field of nonlinear science provides the reader with contemporary, cutting-edge, research works that bridge the gap between theory and device realizations of nonlinear phenomena.
Representative examples of topics covered include: chaos gates, social networks, communication, sensors, lasers, molecular motors, biomedical anomalies, stochastic resonance, nano-oscillators for generating microwave signals and related complex systems. A common theme among these and many other related lectures is to model, study, understand, and...
A collection of different lectures presented by experts in the field of nonlinear science provides the reader with contemporary, cutting-edge, rese...
Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood - let alone 'managed' - by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual...
Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexit...