Chaos Fractals And Self Organisation

The leaking tap in our bathroom exhibits chaos, the bronchial network of our lungs has a fractal structureand all of us are marvellous self-organising systems of nature.In a lucid and non technical account the book explains some of these pioneering ideas that are destined to cultivate in a new non- linear science of the next century.

A modern up-to-date introduction for readers outside statistical physics. It puts emphasis on a clear understanding of concepts and methods and provides the tools that can be of immediate use in applications.

Second, by developing a new family of heuristic models and using them to study the issue of socio-cultural spatial segregation in cities. We term these models FACS model (Free Agents in a Cellular Space). Third, by developing a synergetic/pattern recognition theory of cities and of decision-making in the context of city planning."--BOOK JACKET.

The growing impact of nonlinear science on biology and medicine is fundamentally changing our view of living organisms and disease processes. This book introduces the application to biomedicine of a broad range of interdisciplinary concepts from nonlinear dynamics, such as self-organization, complexity, coherence, stochastic resonance, fractals and chaos. It comprises 18 chapters written by leading figures in the field and covers experimental and theoretical research, as well as the emerging technological possibilities such as nonlinear control techniques for treating pathological biodynamics, including heart arrhythmias and epilepsy. This book will attract the interest of professionals and students from a wide range of disciplines, including physicists, chemists, biologists, sensory physiologists and medical researchers such as cardiologists, neurologists and biomedical engineers.

The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.

Over the past twenty years, geography as an academic discipline has become more and more reflective, asking the key questions 'What are we doing?' 'Why are we doing it?'. These questions have, so far, been more enthusiastically taken up by human geography rather than physical geography. Contemporary Meanings in Physical Geography aims to redress the balance. Written and edited by a distinguished group of physical geographers, Contemporary Meanings in Physical Geography comprises of a collection of international writer's thoughts which reveal personal motivations, and look at tensions in the worlds of meaning in which physical geography is involved. How are the meanings of the physical environment derived? Is the future of physical geography one where the only, or at least the dominant, meanings are framed in the contexts of environmental issues. Covering a diverse and lively selection of topics, the contributors of this book offer guides to the contemporary debates in the philosophy of physical geography, and introduce the reader to its wider cultural significance. This book is an essential companion to anyone studying, or with an interest in, physical geography.

This book presents a new concept of General Systems Theory and its application to atmospheric physics. It reveals that energy input into the atmospheric eddy continuum, whether natural or manmade, results in enhancement of fluctuations of all scales, manifested immediately in the intensification of high-frequency fluctuations such as the Quasi-Biennial Oscillation and the El-Nino–Southern Oscillation cycles. Atmospheric flows exhibit self-organised criticality, i.e. long-range correlations in space and time manifested as fractal geometry to the spatial pattern concomitant with an inverse power law form for fluctuations of meteorological parameters such as temperature, pressure etc. Traditional meteorological theory cannot satisfactorily explain the observed self-similar space time structure of atmospheric flows. A recently developed general systems theory for fractal space-time fluctuations shows that the larger-scale fluctuation can be visualised to emerge from the space-time averaging of enclosed small-scale fluctuations, thereby generating a hierarchy of self-similar fluctuations manifested as the observed eddy continuum in power spectral analyses of fractal fluctuations. The interconnected network of eddy circulations responds as a unified whole to local perturbations such as global-scale response to El-Nino events. The general systems theory model predicts an inverse power law form incorporating the golden mean τ for the distribution of space-time fluctuation patterns and for the power (variance) spectra of the fluctuations. Since the probability distributions of amplitude and variance are the same, atmospheric flows exhibit quantumlike chaos. Long-range correlations inherent to power law distributions of fluctuations are identified as nonlocal connection or entanglement exhibited by quantum systems such as electrons or photons. The predicted distribution is close to the Gaussian distribution for small-scale fluctuations, but exhibits a fat long tail for large-scale fluctuations. Universal inverse power law for fractal fluctuations rules out unambiguously linear secular trends in climate parameters.