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1 Masys, Anthony J Applications of Systems Thinking and Soft Operations Research in Managing Complexity I10393 2016 eBook  
2 Yu, Yang Orbital Dynamics in the Gravitational Field of Small Bodies I10386 2016 eBook  
3 Petrovici, Mihai Alexandru Form Versus Function: Theory and Models for Neuronal Substrates I10320 2016 eBook  
4 Hofmann, Ingo Space Charge Physics for Particle Accelerators I09887 2017 eBook  
5 Lehmann, Sune Complex Spreading Phenomena in Social Systems I09819 2018 eBook  
6 Nelles, Oliver Nonlinear System Identification I09519 2020 eBook  
7 Battimelli, Giovanni Computer Meets Theoretical Physics I09506 2020 eBook  
8 Skiadas, Christos H 12th Chaotic Modeling and Simulation International Conference I09491 2020 eBook  
9 Payne, Diane Social Simulation for a Digital Society I09480 2019 eBook  
10 Shmueli, Erez 3rd International Winter School and Conference on Network Science I09354 2017 eBook  
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TitleApplications of Systems Thinking and Soft Operations Research in Managing Complexity : From Problem Framing to Problem Solving
Author(s)Masys, Anthony J
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionVIII, 322 p. 77 illus., 61 illus. in color : online resource
Abstract NoteThis book captures current trends and developments in the field of systems thinking and soft operations research which can be applied to solve today's??problems of dynamic complexity and interdependency. Such ???wicked problems??? and messes are seemingly intractable problems characterized as value-laden, ambiguous, and unstable, that resist being tamed by classical problem solving. Actions and interventions associated with this complex problem space can have highly unpredictable and unintended consequences. Examples of such complex problems include health care reform, global climate change, transnational serious and organized crime, terrorism, homeland security, human security, disaster management, and humanitarian aid. Moving towards the development of solutions to these complex problem spaces depends on the lens we use to examine them and how we frame the problem. It will be shown that systems thinking and soft operations research has had great success in contributing to the management of complexity.??
ISBN,Price9783319211060
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SIMULATION 3. DECISION MAKING 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. Methodology of the Social Sciences 8. OPERATIONS RESEARCH 9. Operations Research/Decision Theory 10. Security Science and Technology 11. Simulation and Modeling 12. SOCIAL SCIENCES 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems 15. System safety
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TitleOrbital Dynamics in the Gravitational Field of Small Bodies
Author(s)Yu, Yang
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2016.
DescriptionXVIII, 123 p. 49 illus., 17 illus. in color : online resource
Abstract NoteThis prizewinning PhD thesis presents a general discussion of the orbital motion close to solar system small bodies (SSSBs), which induce non-central asymmetric gravitational fields in their neighborhoods. It introduces the methods of qualitative theory in nonlinear dynamics to the study of local/global behaviors around SSSBs. Detailed mechanical models are employed throughout this dissertation, and specific numeric techniques are developed to compensate for the difficulties of directly analyzing. Applying this method, several target systems, like asteroid 216 Kleopatra, are explored in great detail, and the results prove to be both revealing and pervasive for a large group of SSSBs.
ISBN,Price9783662526934
Keyword(s)1. Aerospace engineering 2. Aerospace Technology and Astronautics 3. Applications of Nonlinear Dynamics and Chaos Theory 4. ASTRONAUTICS 5. ASTROPHYSICS 6. Astrophysics and Astroparticles 7. CLASSICAL MECHANICS 8. COMPUTER SIMULATION 9. Dynamical Systems and Ergodic Theory 10. DYNAMICS 11. EBOOK 12. EBOOK - SPRINGER 13. ERGODIC THEORY 14. MECHANICS 15. Simulation and Modeling 16. STATISTICAL PHYSICS
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TitleForm Versus Function: Theory and Models for Neuronal Substrates
Author(s)Petrovici, Mihai Alexandru
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXXVI, 374 p. 150 illus., 101 illus. in color : online resource
Abstract NoteThis thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models. The thesis starts with an in-depth description of the state-of-the-art in theoretical neuroscience, which it subsequently uses as a basis to develop several new and original ideas. Throughout the text, the author connects the form and function of neuronal networks. This is done in order to achieve functional performance of biological brains by transferring their form to synthetic electronics substrates, an approach referred to as neuromorphic computing. The obvious aspect that this transfer can never be perfect but necessarily leads to performance differences is substantiated and explored in detail. The author also introduces a novel interpretation of the firing activity of neurons. He proposes a probabilistic interpretation of this activity and shows by means of formal derivations that stochastic neurons can sample from internally stored probability distributions. This is corroborated by the author???s recent findings, which confirm that biological features like the high conductance state of networks enable this mechanism. The author goes on to show that neural sampling can be implemented on synthetic neuromorphic circuits, paving the way for future applications in machine learning and cognitive computing, for example as energy-efficient implementations of deep learning networks. The thesis offers an essential resource for newcomers to the field and an inspiration for scientists working in theoretical neuroscience and the future of computing
ISBN,Price9783319395524
Keyword(s)1. COMPUTER SIMULATION 2. EBOOK 3. EBOOK - SPRINGER 4. Mathematical Models of Cognitive Processes and Neural Networks 5. Neural networks (Computer science)?? 6. NEUROBIOLOGY 7. Neurosciences 8. Numerical and Computational Physics, Simulation 9. PHYSICS 10. Simulation and Modeling
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TitleSpace Charge Physics for Particle Accelerators
Author(s)Hofmann, Ingo
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionIX, 154 p. 80 illus., 52 illus. in color : online resource
Abstract NoteUnderstanding and controlling the physics of space charge effects in linear and circular proton and ion accelerators are essential to their operation, and to future high-intensity facilities. This book presents the status quo of this field from a theoretical perspective, compares analytical approaches with multi-particle computer simulations and ??? where available ??? with experiments.??It discusses fundamental concepts of phase space motion, matched beams and modes of perturbation, along with mathematical models of analysis ??? from envelope to Vlasov-Poisson equations. The main emphasis is on providing a systematic description of incoherent and coherent resonance phenomena; parametric instabilities and sum modes; mismatch and halo; error driven resonances; and emittance exchange due to anisotropy, as well as the role of Landau damping. Their distinctive features are elaborated in the context of numerous sample simulations, and their potential impacts on beam quality degradation and beam loss are discussed.?? The book is intended for advanced beginners in accelerator research, and for experts interested in the mechanisms of direct space charge interaction and their modeling
ISBN,Price9783319621579
Keyword(s)1. COMPUTER SIMULATION 2. EBOOK 3. EBOOK - SPRINGER 4. ENGINEERING DESIGN 5. Measurement Science and Instrumentation 6. Measurement?????? 7. Numerical and Computational Physics, Simulation 8. Particle acceleration 9. Particle Acceleration and Detection, Beam Physics 10. PHYSICAL MEASUREMENTS 11. PHYSICS 12. Simulation and Modeling
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TitleComplex Spreading Phenomena in Social Systems : Influence and Contagion in Real-World Social Networks
Author(s)Lehmann, Sune;Ahn, Yong-Yeol
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionVI, 361 p. 104 illus., 81 illus. in color : online resource
Abstract NoteThis text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state-of-the-art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health
ISBN,Price9783319773322
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPUTER SIMULATION 3. DATA MINING 4. Data Mining and Knowledge Discovery 5. EBOOK 6. EBOOK - SPRINGER 7. Methodology of the Social Sciences 8. PHYSICS 9. Simulation and Modeling 10. SOCIAL SCIENCES
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TitleNonlinear System Identification : From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
Author(s)Nelles, Oliver
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionX, 1203 p. 670 illus., 179 illus. in color : online resource
Abstract NoteThis book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice. Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. With the advent of neural networks, fuzzy models, Gaussian process models, and modern structure optimization techniques, a much broader class of systems can now be handled. Although one major aspect of nonlinear systems is that virtually every one is unique, tools have since been developed that allow each approach to be applied to a wide variety of systems.
ISBN,Price9783030474393
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. CALCULUS OF VARIATIONS 3. Calculus of Variations and Optimal Control; Optimization 4. COMPLEXITY 5. COMPUTATIONAL COMPLEXITY 6. COMPUTER SIMULATION 7. Control and Systems Theory 8. Control engineering 9. Control, Robotics, Mechatronics 10. EBOOK 11. EBOOK - SPRINGER 12. Mechatronics 13. ROBOTICS 14. Simulation and Modeling 15. STATISTICAL PHYSICS
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TitleComputer Meets Theoretical Physics : The New Frontier of Molecular Simulation
Author(s)Battimelli, Giovanni;Ciccotti, Giovanni;Greco, Pietro
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionX, 206 p. 53 illus., 22 illus. in color : online resource
Abstract NoteThis book provides a vivid account of the early history of molecular simulation, a new frontier for our understanding of matter that was opened when the demands of theoretical physicists were met by the availability of the modern computers. Since their inception, electronic computers have enormously increased their performance, thus making possible the unprecedented technological revolution that characterizes our present times. This obvious technological advancement has brought with it a silent scientific revolution in the practice of theoretical physics. In particular, in the physics of matter it has opened up a direct route from the microscopic physical laws to observable phenomena. One can now study the time evolution of systems composed of millions of molecules, and simulate the behaviour of macroscopic materials and actually predict their properties. Molecular simulation has provided a new theoretical and conceptual tool that physicists could only dream of when the foundations of statistical mechanics were laid. Molecular simulation has undergone impressive development, both in the size of the scientific community involved and in the range and scope of its applications. It has become the ubiquitous workhorse for investigating the nature of complex condensed matter systems in physics, chemistry, materials and the life sciences. Yet these developments remain largely unknown outside the inner circles of practitioners, and they have so far never been described for a wider public. The main objective of this book is therefore to offer a reasonably comprehensive reconstruction of the early history of molecular simulation addressed to an audience of both scientists and interested non-scientists, describing the scientific and personal trajectories of the main protagonists and discussing the deep conceptual innovations that their work produced
ISBN,Price9783030393991
Keyword(s)1. Chemistry, Physical and theoretical 2. COMPUTER SIMULATION 3. Data-driven Science, Modeling and Theory Building 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOPHYSICS 7. History and Philosophical Foundations of Physics 8. Numerical and Computational Physics, Simulation 9. PHYSICS 10. Popular Science in Physics 11. Simulation and Modeling 12. Sociophysics 13. Theoretical and Computational Chemistry
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Title12th Chaotic Modeling and Simulation International Conference
Author(s)Skiadas, Christos H;Dimotikalis, Yiannis
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXI, 306 p. 118 illus., 61 illus. in color : online resource
Abstract NoteGathering the proceedings of the 12th CHAOS2019 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences. The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies.
ISBN,Price9783030395155
Keyword(s)1. Applied Science, multidisciplinary 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. COMPUTER SIMULATION 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. GAME THEORY 10. Game Theory, Economics, Social and Behav. Sciences 11. Simulation and Modeling 12. STATISTICAL PHYSICS 13. TECHNOLOGY
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TitleSocial Simulation for a Digital Society : Applications and Innovations in Computational Social Science
Author(s)Payne, Diane;Elkink, Johan A;Friel, Nial;Grund, Thomas U;Hochstrasser, Tamara;Lucas, Pablo;Ottewill, Adrian
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionVIII, 218 p. 58 illus., 37 illus. in color : online resource
Abstract Note???Social Simulation for a Digital Society??? provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.
ISBN,Price9783030302986
Keyword(s)1. Computational Intelligence 2. Computational Social Sciences 3. COMPUTER SIMULATION 4. Data-driven Science, Modeling and Theory Building 5. DECISION MAKING 6. EBOOK 7. EBOOK - SPRINGER 8. ECONOPHYSICS 9. OPERATIONS RESEARCH 10. Operations Research/Decision Theory 11. Simulation and Modeling 12. Social sciences???Computer programs 13. Social sciences???Data processing 14. Sociophysics
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Title3rd International Winter School and Conference on Network Science : NetSci-X 2017
Author(s)Shmueli, Erez;Barzel, Baruch;Puzis, Rami
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionVI, 130 p. 32 illus., 17 illus. in color : online resource
Abstract NoteThis book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field.
ISBN,Price9783319554716
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. BIOINFORMATICS 3. Computational Biology/Bioinformatics 4. Computational Social Sciences 5. COMPUTER SIMULATION 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. PHYSICS 11. Simulation and Modeling 12. Social sciences???Computer programs 13. Social sciences???Data processing 14. Sociophysics
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