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Category theory. Homological algebra --- Homology theory. --- Chaotic behavior in systems. --- Homologie --- Chaos --- Systèmes dynamiques.

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"Introduces chaos theory, its analytical methods and the means to apply chaos to the switching power supply designDC-DC converters are typical switching systems which have plenty of nonlinear behaviors, such as bifurcation and chaos. The nonlinear behaviors of DC-DC converters have been studied heavily over the past 20 years, yet researchers are still unsure of the practical application of bifurcations and chaos in switching converters. The electromagnetic interference (EMI), which resulted from the high rates of changes of voltage and current, has become a major design criterion in DC-DC converters due to wide applications of various electronic devices in industry and daily life, and the question of how to reduce the annoying, harmful EMI has attracted much research interest. This book focuses on the analysis and application of chaos to reduce harmful EMI of DC-DC converters. After a review of the fundamentals of chaos behaviors of DC-DC converters, the authors present some recent findings such as Symbolic Entropy, Complexity and Chaos Point Process, to analyze the characters of chaotic DC-DC converters. Using these methods, the statistic characters of chaotic DC-DC converters are extracted and the foundations for the following researches of chaotic EMI suppression are reinforced. The focus then transfers to estimating the power spectral density of chaotic PWM converters behind an introduction of basic principles of spectrum analysis and chaotic PWM technique. Invariant Density, and Prony and Wavelet analysis methods are suggested for estimating the power spectral density of chaotic PWM converters. Finally, some design-oriented applications provide a good example of applying chaos theory in engineering practice, and illustrate the effectiveness on suppressing EMI of the proposed chaotic PWM. Introduces chaos theory, its analytical methods and the means to apply chaos to the switching power supply design Approaches the subject in a systematic manner from analyzing method, chaotic phenomenon and EMI characteristics, analytical methods for chaos, and applying chaos to reduce EMI (electromagnetic interference) Highlights advanced research work in the fields of statistic characters of nonlinear behaviors and chaotic PWM technology to suppress EMI of switching converters Bridges the gap between numerical theory and real-world applications, enabling power electronics designers to both analyze the effects of chaos and leverage these effects to reduce EMI "- "Introduces chaos theory, its analytical methods and the means to apply chaos to the switching power supply design"-

DC-to-DC converters. --- Electromagnetic interference --- Chaotic behavior in systems. --- Prevention.

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"Traces an epistemological legacy from Romantic and Victorian ecological literature to modern scientific ecology. Investigates two essential and contrasting paradigms of nature that continue to be debated today"--Provided by publisher.

English literature --- Nature in literature. --- Ecology in literature. --- Chaotic behavior in systems in literature. --- Microcosm and macrocosm in literature. --- Romanticism --- History and criticism.

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For the past two decades, ‘complexity’ has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling. Others argue against such ‘restricted complexity’ and for the development of case-based narratives deploying a much wider set of approaches and techniques. Major social theorists have been reinterpreted through a complexity lens and the whole methodological programme of the social sciences has been recast in complexity terms.In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining:the key issues in complexity theory the implications of complexity theory for social theory the methodology and methods of complexity theory complexity within disciplines and fields.It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ‘open’ social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science. This book will be particularly relevant for, and interesting to, students and scholars of social research methods, social theory, business and organization studies, health, education, urban studies and development studies.

sociale wetenschappen --- Sociology of knowledge --- complexiteit --- Social sciences --- Chaotic behavior in systems. --- #SBIB:303H12 --- #SBIB:316.21H00 --- Social science research --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- Mathematical models. --- Research. --- Methoden en technieken: sociale wetenschappen --- Theoretische sociologie: inleidingen op de huidige toestand --- Chaotic behavior in systems --- #SBIB:AANKOOP --- Mathematical models --- Research --- Sociale wetenschappen. --- Sciences sociales --- Chaos --- Modèles mathématiques --- Recherche --- Social sciences - Mathematical models --- Social sciences - Research

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This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm

Computer vision. --- Chaotic behavior in systems. --- Fractal analysis. --- Fractal geometric analysis --- Geometric analysis --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems