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 #  AuthorTitleAccn#YearItem Type Claims
1 Serra, Roberto Modelling Protocells I10471 2017 eBook  
2 Boguslavskiy, Josif A Dynamic Systems Models I10444 2016 eBook  
3 Ludu, Andrei Boundaries of a Complex World I10429 2016 eBook  
4 Chaigne, Antoine Acoustics of Musical Instruments I10428 2016 eBook  
5 Eu, Byung Chan Kinetic Theory of Nonequilibrium Ensembles, Irreversible Thermodynamics, and Generalized Hydrodynamics I10418 2016 eBook  
6 Sommer, Annkatrin Madlen Ultrafast Strong Field Dynamics in Dielectrics I10401 2016 eBook  
7 Vallejo, Juan C Predictability of Chaotic Dynamics I10399 2017 eBook  
8 Masys, Anthony J Applications of Systems Thinking and Soft Operations Research in Managing Complexity I10393 2016 eBook  
9 Yu, Yang Orbital Dynamics in the Gravitational Field of Small Bodies I10386 2016 eBook  
10 Bonamente, Massimiliano Statistics and Analysis of Scientific Data I10326 2017 eBook  
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TitleModelling Protocells : The Emergent Synchronization of Reproduction and Molecular Replication
Author(s)Serra, Roberto;Villani, Marco
PublicationDordrecht, 1. Imprint: Springer 2. Springer Netherlands, 2017.
DescriptionXV, 182 p. 46 illus., 33 illus. in color : online resource
Abstract NoteThe monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell ???architectures??? have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as ???virtual laboratories??? for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations. The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life
ISBN,Price9789402411607
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOPHYSICS 4. Biotechnology 5. COMPLEX SYSTEMS 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. Evolutionary Biology 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems
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TitleDynamic Systems Models : New Methods of Parameter and State Estimation
Author(s)Boguslavskiy, Josif A;Borodovsky, Mark
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXX, 201 p : online resource
Abstract NoteThis monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics. Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included. Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution
ISBN,Price9783319040363
Keyword(s)1. Aerospace engineering 2. Aerospace Technology and Astronautics 3. Applications of Nonlinear Dynamics and Chaos Theory 4. ASTRONAUTICS 5. EBOOK 6. EBOOK - SPRINGER 7. Economics, Mathematical?? 8. IMAGE PROCESSING 9. Mathematical Modeling and Industrial Mathematics 10. MATHEMATICAL MODELS 11. Quantitative Finance 12. SIGNAL PROCESSING 13. Signal, Image and Speech Processing 14. Speech processing systems 15. STATISTICAL PHYSICS
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TitleBoundaries of a Complex World
Author(s)Ludu, Andrei
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2016.
DescriptionXIII, 361 p. 158 illus., 112 illus. in color : online resource
Abstract NoteThe central theme of this book is the extent to which the structure of the free dynamical boundaries of a system controls the evolution of the system as a whole. Applying three orthogonal types of thinking - mathematical, constructivist and morphological, it illustrates these concepts using applications to selected problems from the social and life sciences, as well as economics. ??In a broader context, it introduces and reviews some modern mathematical approaches to the science of complex systems. Standard modeling approaches (based on non-linear differential equations, dynamic systems, graph theory, cellular automata, stochastic processes, or information theory) are suitable for studying local problems. However they cannot simultaneously take into account all the different facets and phenomena of a complex system, and new approaches are required to solve the challenging problem of correlations between phenomena at different levels and hierarchies, their self-organization and memory-evolutive aspects, the growth of additional structures and are ultimately required to explain why and how such complex systems can display both robustness and flexibility. ????This graduate-level text also addresses a broader interdisciplinary audience, keeping the mathematical level essentially uniform throughout the book, and involving only basic elements from calculus, algebra, geometry and systems theory. ??
ISBN,Price9783662490785
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Earth System Sciences 6. EBOOK 7. EBOOK - SPRINGER 8. Ecology?? 9. Physical geography 10. STATISTICAL PHYSICS 11. SYSTEM THEORY 12. Systems biology 13. Theoretical Ecology/Statistics
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TitleAcoustics of Musical Instruments
Author(s)Chaigne, Antoine;Kergomard, Jean
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2016.
DescriptionXXV, 844 p. 357 illus., 355 illus. in color : online resource
Abstract NoteThis book, the first English-language translation of Acoustique des instruments de musique, Second Edition, presents the necessary foundations for understanding the complex physical phenomena involved in musical instruments. What is the function of the labium in a flute? Which features of an instrument allow us to make a clear audible distinction between a clarinet and a trumpet? With the help of numerous examples, these questions are addressed in detail. The authors focus in particular on the significant results obtained in the field during the last fifteen years. Their goal is to show that elementary physical models can be used with benefit for various applications in sound synthesis, instrument making, and sound recording. The book is primarily addressed to graduate students and researchers; however it could also be of interest for engineers, musicians, craftsmen, and music lovers who wish to learn about the basics of musical acoustics. Casts new light on the physics of musical instruments Includes up-to-date research published int he field of musical acoustics in the last fifteen years Outlines new methods developed in other fields such as complex modes and nonlinear normal modes Represents the only book on the physics of musical instruments to include practice exercises, catering to a broad audience of graduate students and researchers Brings the essential Acoustique des instruments de musique to an English audience for the first time
ISBN,Price9781493936793
Keyword(s)1. Acoustical engineering 2. ACOUSTICS 3. Applications of Nonlinear Dynamics and Chaos Theory 4. DYNAMICAL SYSTEMS 5. DYNAMICS 6. EBOOK 7. EBOOK - SPRINGER 8. Engineering Acoustics 9. MUSIC 10. STATISTICAL PHYSICS 11. VIBRATION 12. Vibration, Dynamical Systems, Control
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TitleKinetic Theory of Nonequilibrium Ensembles, Irreversible Thermodynamics, and Generalized Hydrodynamics : Volume 2. Relativistic Theories
Author(s)Eu, Byung Chan
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionIX, 201 p. 1 illus. in color : online resource
Abstract NoteThis book presents the fundamentals of irreversible thermodynamics for nonlinear transport processes in gases and liquids, as well as for generalized hydrodynamics extending the classical hydrodynamics of Navier, Stokes, Fourier, and Fick. Together with its companion volume on nonrelativistic contexts, it provides a comprehensive picture of the relativistic covariant kinetic theory of gases and relativistic hydrodynamics of gases.Relativistic theories of macroscopic irreversible processes must strictly conform to the thermodynamic laws at every step and in all approximations that enter their derivation from the mechanical principles. Upholding this as the inviolable tenet, the author develops theories of irreversible transport processes in fluids (gases or liquids). They apply regardless of whether the processes are near to or far removed from equilibrium, or whether they are linear or nonlinear with respect to macroscopic fluxes or thermodynamic forces. The irreversible covariant Boltzmann as well as the covariant form of the Boltzmann-Nordheim-Uehling-Uhlenbeck equation is used for deriving theories of irreversible transport equations and generalized hydrodynamic equations for either classical gases or quantum gases. They all conform rigorously to the tenet. All macroscopic observables described by the so-formulated theories therefore are likewise expected to strictly obey the tenet
ISBN,Price9783319411538
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Methods in Physics 6. PHYSICS 7. STATISTICAL PHYSICS 8. Statistical Physics and Dynamical Systems 9. THERMODYNAMICS
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TitleUltrafast Strong Field Dynamics in Dielectrics
Author(s)Sommer, Annkatrin Madlen
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXVI, 127 p. 79 illus. in color : online resource
Abstract NoteThis thesis presents a systematic discussion of experimental approaches to investigating the nonlinear interaction of ultrashort visible strong fields with dielectrics directly in the time domain. The key finding is the distinctly different peak-intensity dependence of the light-matter energy transfer dynamics on the one hand, and the observed transient optical and electronic modifications on the other. As the induced electron dynamics evolve on sub-femtosecond timescales, real-time spectroscopy requires attosecond temporal resolution. This allows a range of parameters to be identified where the optical properties of the samples exposed to ultrashort light fields suffer dramatic changes allowing signal metrology while real absorption leading to dissipation is essentially absent. These findings indicate the feasibility of efficient optical switching at frequencies several orders of magnitude faster than current state-of-the-art electronics and thus have far-reaching technological consequences
ISBN,Price9783319412078
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. EBOOK 3. EBOOK - SPRINGER 4. LASERS 5. Optics, Lasers, Photonics, Optical Devices 6. PHOTONICS 7. SOLID STATE PHYSICS 8. STATISTICAL PHYSICS
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TitlePredictability of Chaotic Dynamics : A Finite-time Lyapunov Exponents Approach
Author(s)Vallejo, Juan C;Sanjuan, Miguel A. F
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXV, 136 p. 47 illus., 22 illus. in color : online resource
Abstract NoteThis book is primarily concerned with the computational aspects of predictability of dynamical systems ??? in particular those where observation, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, for instance in celestial mechanics, one is confronted with the observation and modeling of systems without the possibility of altering the key parameters of the objects studied. Therefore, the numerical simulations offer an essential tool for analyzing these systems. With the widespread use of computer simulations to solve complex dynamical systems, the reliability of the numerical calculations is of ever-increasing interest and importance. This reliability is directly related to the regularity and instability properties of the modeled flow. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the finite-time Lyapunov exponents approach. The method is illustrated using a number of well-known continuous dynamical systems, including the Contopoulos, H??non-Heiles and R??ssler systems. To help students and newcomers quickly learn to apply these techniques, the appendix provides descriptions of the algorithms used throughout the text and details how to implement them in order to solve a given continuous dynamical system
ISBN,Price9783319518930
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. EBOOK 3. EBOOK - SPRINGER 4. Mathematical Applications in the Physical Sciences 5. MATHEMATICAL PHYSICS 6. Numerical and Computational Physics, Simulation 7. PHYSICS 8. SPACE SCIENCES 9. Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) 10. STATISTICAL PHYSICS
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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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TitleStatistics and Analysis of Scientific Data
Author(s)Bonamente, Massimiliano
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2017.
DescriptionXVII, 318 p. 40 illus., 4 illus. in color : online resource
Abstract NoteThe revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: ??? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. ??? a new chapter on the various measures of the mean including logarithmic averages. ??? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. ??? a new case study and additional worked examples. ??? mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. ??? end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic
ISBN,Price9781493965724
Keyword(s)1. APPLIED MATHEMATICS 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical and Computational Engineering 8. Mathematical Methods in Physics 9. PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. Statistics for Business, Management, Economics, Finance, Insurance 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics??
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