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1.


    Serra, Roberto.
    Modelling Protocells [Electronic resource] : the Emergent Synchronization of Reproduction and Molecular Replication / / Roberto. Serra, Villani, Marco. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XV, 182 p. 46 illus., 33 illus. in color. - ISBN 9789402411607
    Зміст:
Рубрики: Statistical physics.
   Dynamical systems.
   Biophysics.
   Biological physics.
   Evolutionary biology.
   Biotechnology.
   Complex Systems.
   Biological and Medical Physics, Biophysics.
   Evolutionary Biology.
   Biotechnology.
   Statistical Physics and Dynamical Systems.
Анотація: The 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.
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Villani, Marco.; Serra, Roberto. \.\
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2.


   
    Active Particles, Volume 1 [Electronic resource] : advances in Theory, Models, and Applications / / ed.: Bellomo, Nicola., Degond, Pierre., Tadmor, Eitan. - 1st ed. 2017. - [S. l. : s. n.]. - X, 402 p. 100 illus., 94 illus. in color. - ISBN 9783319499963
    Зміст:
Рубрики: Mathematical models.
   System theory.
   Statistical physics.
   Dynamical systems.
   Mathematical Modeling and Industrial Mathematics.
   Complex Systems.
   Complex Systems.
   Statistical Physics and Dynamical Systems.
   Systems Theory, Control.
Анотація: This volume collects ten surveys on the modeling, simulation, and applications of active particles using methods ranging from mathematical kinetic theory to nonequilibrium statistical mechanics. The contributing authors are leading experts working in this challenging field, and each of their chapters provides a review of the most recent results in their areas and looks ahead to future research directions. The approaches to studying active matter are presented here from many different perspectives, such as individual-based models, evolutionary games, Brownian motion, and continuum theories, as well as various combinations of these. Applications covered include biological network formation and network theory; opinion formation and social systems; control theory of sparse systems; theory and applications of mean field games; population learning; dynamics of flocking systems; vehicular traffic flow; and stochastic particles and mean field approximation. Mathematicians and other members of the scientific community interested in active matter and its many applications will find this volume to be a timely, authoritative, and valuable resource.
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Bellomo, Nicola. \ed.\; Degond, Pierre. \ed.\; Tadmor, Eitan. \ed.\
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3.


    Hadeler, Karl-Peter.
    Cellular Automata: Analysis and Applications [Electronic resource] / Karl-Peter. Hadeler, Müller, Johannes. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XI, 467 p. 78 illus., 3 illus. in color. - ISBN 9783319530437
    Зміст:
Рубрики: Dynamics.
   Ergodic theory.
   System theory.
   Mathematical physics.
   Biomathematics.
   Dynamical Systems and Ergodic Theory.
   Complex Systems.
   Mathematical Applications in the Physical Sciences.
   Mathematical and Computational Biology.
Анотація: This book focuses on a coherent representation of the main approaches to analyze the dynamics of cellular automata. Cellular automata are an inevitable tool in mathematical modeling. In contrast to classical modeling approaches as partial differential equations, cellular automata are straightforward to simulate but hard to analyze. In this book we present a review of approaches and theories that allow the reader to understand the behavior of cellular automata beyond simulations. The first part consists of an introduction of cellular automata on Cayley graphs, and their characterization via the fundamental Cutis-Hedlund-Lyndon theorems in the context of different topological concepts (Cantor, Besicovitch and Weyl topology). The second part focuses on classification results: What classification follows from topological concepts (Hurley classification), Lyapunov stability (Gilman classification), and the theory of formal languages and grammars (Kůrka classification). These classifications suggest to cluster cellular automata, similar to the classification of partial differential equations in hyperbolic, parabolic and elliptic equations. This part of the book culminates in the question, whether properties of cellular automata are decidable. Surjectivity, and injectivity are examined, and the seminal Garden of Eden theorems are discussed. The third part focuses on the analysis of cellular automata that inherit distinct properties, often based on mathematical modeling of biological, physical or chemical systems. Linearity is a concept that allows to define self-similar limit sets. Models for particle motion show how to bridge the gap between cellular automata and partial differential equations (HPP model and ultradiscrete limit). Pattern formation is related to linear cellular automata, to the Bar-Yam model for Turing pattern, and Greenberg-Hastings automata for excitable media. Also models for sandpiles, the dynamics of infectious diseases and evolution of predator-prey systems are discussed. Mathematicians find an overview about theory and tools for the analysis of cellular automata. The book contains an appendix introducing basic mathematical techniques and notations, such that also physicists, chemists and biologists interested in cellular automata beyond pure simulations will benefit.
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4.


    de Oliveira, Oliveira, Mário J.
    Equilibrium Thermodynamics [Electronic resource] / Oliveira, Mário J. de Oliveira ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XI, 400 p. 81 illus. - ISBN 9783662532072
    Зміст:
Рубрики: Thermodynamics.
   Phase transitions (Statistical physics).
   Physical chemistry.
   Statistical physics.
   Dynamical systems.
   Thermodynamics.
   Phase Transitions and Multiphase Systems.
   Physical Chemistry.
   Complex Systems.
   Statistical Physics and Dynamical Systems.
Анотація: This textbook provides an exposition of equilibrium thermodynamics and its applications to several areas of physics with particular attention to phase transitions and critical phenomena. The applications include several areas of condensed matter physics and include also a chapter on thermochemistry. Phase transitions and critical phenomena are treated according to the modern development of the field, based on the ideas of universality and on the Widom scaling theory. For each topic, a mean-field or Landau theory is presented to describe qualitatively the phase transitions. These theories include the van der Waals theory of the liquid-vapor transition, the Hildebrand-Heitler theory of regular mixtures, the Griffiths-Landau theory for multicritical points in multicomponent systems, the Bragg-Williams theory of order-disorder in alloys, the Weiss theory of ferromagnetism, the Néel theory of antiferromagnetism, the Devonshire theory for ferroelectrics and Landau-de Gennes theory of liquid crystals. This new edition presents expanded sedctions on phase transitions, liquid crystals and magnetic systems, for all problems detailed solutions are provided. It is intended for students in physics and chemistry and provides a unique combination of thorough theoretical explanation and presentation of applications in both areas. Chapter summaries, highlighted essentials and problems with solutions enable a self sustained approach and deepen the knowledge. It is intended for students in physics and chemistry and provides a unique combination of thorough theoretical explanation and presentation of applications in both areas. Chapter summaries, highlighted essentials and problems with solutions enable a self sustained approach and deepen the knowledge.
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5.


    Baldock, Robert John Nicholas.
    Classical Statistical Mechanics with Nested Sampling [Electronic resource] / Robert John Nicholas. Baldock ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 144 p. 30 illus., 25 illus. in color. - ISBN 9783319667690
    Зміст:
Рубрики: Statistical physics.
   Dynamical systems.
   Phase transitions (Statistical physics).
   Physics.
   Complex Systems.
   Phase Transitions and Multiphase Systems.
   Numerical and Computational Physics, Simulation.
   Statistical Physics and Dynamical Systems.
Анотація: This thesis develops a nested sampling algorithm into a black box tool for directly calculating the partition function, and thus the complete phase diagram of a material, from the interatomic potential energy function. It represents a significant step forward in our ability to accurately describe the finite temperature properties of materials. In principle, the macroscopic phases of matter are related to the microscopic interactions of atoms by statistical mechanics and the partition function. In practice, direct calculation of the partition function has proved infeasible for realistic models of atomic interactions, even with modern atomistic simulation methods. The thesis also shows how the output of nested sampling calculations can be processed to calculate the complete PVT (pressure–volume–temperature) equation of state for a material, and applies the nested sampling algorithm to calculate the pressure–temperature phase diagrams of aluminium and a model binary alloy.
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6.


    Ren, Chiang H.
    How Systems Form and How Systems Break [Electronic resource] : a Beginner’s Guide for Studying the World / / Chiang H. Ren ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 179 p. 47 illus., 1 illus. in color. - ISBN 9783319440309
    Зміст:
Рубрики: Computational complexity.
   Vibration.
   Dynamical systems.
   Dynamics.
   Statistical physics.
   System theory.
   Complexity.
   Vibration, Dynamical Systems, Control.
   Complex Systems.
   Systems Theory, Control.
   Statistical Physics and Dynamical Systems.
Анотація: Our world is composed of systems within systems—the machines we build, the information we share, the organizations we form, and elements of nature that surround us. Therefore, nearly every field of study and practice embodies behaviors stemming from system dynamics. Yet the study of systems has remained somewhat fragmented based on philosophies, methodologies, and intentions. Many methodologies for analyzing complex systems extend far beyond the traditional framework of deduction evaluation and may, thus, appear mysterious to the uninitiated. This book seeks to dispel the mysteries of systems analysis by holistically explaining the philosophies, methodologies, and intentions in the context of understanding how all types of systems in our world form and how these systems break. This presentation is made at the level of conceptual understanding, with plenty of figures but no mathematical formulas, for the beginning student and interested readers new to studying systems. Through the conceptual understanding provided, students are given a powerful capability to see the hidden behaviors and unexplained consequences in the world around us.
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Ren, Chiang H. \.\
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7.


    Ay, Nihat.
    Information Geometry [Electronic resource] / Nihat. Ay, Jost, Jürgen., Lê, Hông Vân., Schwachhöfer, Lorenz. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XI, 407 p. 15 illus. - ISBN 9783319564784
    Зміст:
Рубрики: Statistics .
   Data structures (Computer science).
   Differential geometry.
   Convex geometry .
   Discrete geometry.
   Functional analysis.
   System theory.
   Statistical Theory and Methods.
   Data Structures.
   Differential Geometry.
   Convex and Discrete Geometry.
   Functional Analysis.
   Complex Systems.
Анотація: The book provides a comprehensive introduction and a novel mathematical foundation of the field of information geometry with complete proofs and detailed background material on measure theory, Riemannian geometry and Banach space theory. Parametrised measure models are defined as fundamental geometric objects, which can be both finite or infinite dimensional. Based on these models, canonical tensor fields are introduced and further studied, including the Fisher metric and the Amari-Chentsov tensor, and embeddings of statistical manifolds are investigated. This novel foundation then leads to application highlights, such as generalizations and extensions of the classical uniqueness result of Chentsov or the Cramér-Rao inequality. Additionally, several new application fields of information geometry are highlighted, for instance hierarchical and graphical models, complexity theory, population genetics, or Markov Chain Monte Carlo. The book will be of interest to mathematicians who are interested in geometry, information theory, or the foundations of statistics, to statisticians as well as to scientists interested in the mathematical foundations of complex systems.
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Jost, Jürgen.; Lê, Hông Vân.; Schwachhöfer, Lorenz.; Ay, Nihat. \.\
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8.


   
    Simulating Social Complexity [Electronic resource] : a Handbook / / ed.: Edmonds, Bruce., Meyer, Ruth. - 2nd ed. 2017. - [S. l. : s. n.]. - VII, 838 p. 85 illus., 32 illus. in color. - ISBN 9783319669489
    Зміст:
Рубрики: Application software.
   Social sciences.
   Statistical physics.
   Dynamical systems.
   Behavioral sciences.
   Game theory.
   Computer simulation.
   Computer Appl. in Social and Behavioral Sciences.
   Social Sciences, general.
   Complex Systems.
   Behavioral Sciences.
   Game Theory, Economics, Social and Behav. Sciences.
   Simulation and Modeling.
Анотація: This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual an d agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications . Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.
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9.


    Mella, Piero.
    The Combinatory Systems Theory [Electronic resource] : understanding, Modeling and Simulating Collective Phenomena / / Piero. Mella ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 287 p. 123 illus., 120 illus. in color. - ISBN 9783319548050
    Зміст:
Рубрики: Knowledge management.
   System theory.
   Application software.
   Knowledge Management.
   Complex Systems.
   Computer Appl. in Social and Behavioral Sciences.
Анотація: This study adopts the logic of Systems Thinking and Control Systems, presenting a simple but complete theory called the Theory of Combinatory Systems. This new theory is able to describe, interpret, explain, simulate and control collective phenomena and their observable effects. Despite specific differences among these phenomena – many of which are “one way", non-repeatable or reproducible – they can all be described or explained, and thus understood, using the model, as simple as it is general, of combinatory systems; that is, systems formed by collectivities, or populations of non-connected and unorganized individuals of some species, which appear to be directed by an invisible hand that guides the analogous actions of similar individuals in order to produce an emerging collective phenomenon. Combinatory Systems function due to the presence of micro control systems which, operating at the individual level, lead to uniform micro behavior by individuals in order to eliminate the (gap) with respect to the objective that is represented – or revealed – by the global information (macro behavior or effect). The book also examines Combinatory Automata, which represent a powerful tool for simulating the most relevant combinatory systems. In stochastic combinatory automata, when both probabilities and periods of transition of state are agent/time/state sensitive, the probabilistic micro behaviors are conditioned by the macro behavior of the entire system, which makes the micro-macro feedback more evident. The Combinatory Systems Theory: Understanding, Modeling and Simulating Collective Phenomena is composed of four main chapters. Chapter 1 presents the basic ideas behind the theory, which are analysed in some detail. Chapter 2 describes the heuristic models of several relevant combinatory systems observable in different environments. Chapter 3, while not making particular use of sophisticated mathematical and statistical tools, presents the Theory of Combinatory Automata and builds models for simulating the operative logic of combinatory systems. Chapter 4 tries to answer three questions: are combinatory systems “systems” in the true sense of the term? Why is this theory able to explain so many and so varied a number of phenomena, even though it is based on a very simple modus operandi? Are combinatory systems different than complex systems? The book has been written with no prerequisite required to read and understand it, in particular math, statistics and computer knowledge.
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10.


    Sicuro, Gabriele.
    The Euclidean Matching Problem [Electronic resource] / Gabriele. Sicuro ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIV, 136 p. 50 illus., 6 illus. in color. - ISBN 9783319465777
    Зміст:
Рубрики: Physics.
   Statistical physics.
   Dynamical systems.
   Mathematical physics.
   Mathematical Methods in Physics.
   Complex Systems.
   Mathematical Physics.
   Statistical Physics and Dynamical Systems.
Анотація: This thesis discusses the random Euclidean bipartite matching problem, i.e., the matching problem between two different sets of points randomly generated on the Euclidean domain. The presence of both randomness and Euclidean constraints makes the study of the average properties of the solution highly relevant. The thesis reviews a number of known results about both matching problems and Euclidean matching problems. It then goes on to provide a complete and general solution for the one dimensional problem in the case of convex cost functionals and, moreover, discusses a potential approach to the average optimal matching cost and its finite size corrections in the quadratic case. The correlation functions of the optimal matching map in the thermodynamical limit are also analyzed. Lastly, using a functional approach, the thesis puts forward a general recipe for the computation of the correlation function of the optimal matching in any dimension and in a generic domain. iv.
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11.


    Doran, Derek.
    Network Role Mining and Analysis [Electronic resource] / Derek. Doran ; . - 1st ed. 2017. - [S. l. : s. n.]. - XI, 101 p. 16 illus., 8 illus. in color. - ISBN 9783319538860
    Зміст:
Рубрики: Data mining.
   Physics.
   System theory.
   Big data.
   Personality.
   Social psychology.
   Data Mining and Knowledge Discovery.
   Applications of Graph Theory and Complex Networks.
   Complex Systems.
   Big Data/Analytics.
   Personality and Social Psychology.
Анотація: This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implications about entity behaviors in system, or if they are purely data driven. The brief also discusses when and how each method should be applied, and discusses some outstanding challenges toward the development of future role mining methods of each type.
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12.


    Luo, Albert C. J.
    Memorized Discrete Systems and Time-delay [Electronic resource] / Albert C. J. Luo ; . - 1st ed. 2017. - [S. l. : s. n.]. - X, 298 p. 35 illus., 17 illus. in color. - ISBN 9783319427782
    Зміст:
Рубрики: Computational complexity.
   Statistical physics.
   System theory.
   Systems biology.
   Econometrics.
   Complexity.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Complex Systems.
   Systems Biology.
   Econometrics.
Анотація: This book examines discrete dynamical systems with memory—nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems. It book further discusses stability and bifurcations of time-delay dynamical systems that can be investigated through memorized dynamical systems as well as bifurcations of memorized nonlinear dynamical systems, discretization methods of time-delay systems, and periodic motions to chaos in nonlinear time-delay systems. The book helps readers find analytical solutions of MDS, change traditional perturbation analysis in time-delay systems, detect motion complexity and singularity in MDS; and determine stability, bifurcation, and chaos in any time-delay system.
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13.


    Sivakumar, Bellie.
    Chaos in Hydrology [Electronic resource] : bridging Determinism and Stochasticity / / Bellie. Sivakumar ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXX, 394 p. 62 illus., 25 illus. in color. - ISBN 9789048125524
    Зміст:
Рубрики: Hydrogeology.
   Hydrology.
   Civil engineering.
   Statistical physics.
   Dynamical systems.
   Geotechnical engineering.
   Hydrogeology.
   Hydrology/Water Resources.
   Civil Engineering.
   Complex Systems.
   Geotechnical Engineering & Applied Earth Sciences.
   Statistical Physics and Dynamical Systems.
Анотація: This authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.
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14.


    Fieguth, Paul.
    An Introduction to Complex Systems [Electronic resource] : society, Ecology, and Nonlinear Dynamics / / Paul. Fieguth ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 346 p. 243 illus., 178 illus. in color. - ISBN 9783319446066
    Зміст:
Рубрики: Statistical physics.
   Dynamical systems.
   Computational complexity.
   System theory.
   Physical geography.
   Climate change.
   Game theory.
   Complex Systems.
   Complexity.
   Complex Systems.
   Earth System Sciences.
   Climate Change.
   Game Theory.
Анотація: This undergraduate text explores a variety of large-scale phenomena - global warming, ice ages, water, poverty - and uses these case studies as a motivation to explore nonlinear dynamics, power-law statistics, and complex systems. Although the detailed mathematical descriptions of these topics can be challenging, the consequences of a system being nonlinear, power-law, or complex are in fact quite accessible. This book blends a tutorial approach to the mathematical aspects of complex systems together with a complementary narrative on the global/ecological/societal implications of such systems. Nearly all engineering undergraduate courses focus on mathematics and systems which are small scale, linear, and Gaussian. Unfortunately there is not a single large-scale ecological or social phenomenon that is scalar, linear, and Gaussian. This book offers students insights to better understand the large-scale problems facing the world and to realize that these cannot be solved by a single, narrow academic field or perspective. Instead, the book seeks to emphasize understanding, concepts, and ideas, in a way that is mathematically rigorous, so that the concepts do not feel vague, but not so technical that the mathematics get in the way. The book is intended for undergraduate students in a technical domain such as engineering, computer science, physics, mathematics, and environmental studies.
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15.


    Kemppainen, Antti.
    Schramm–Loewner Evolution [Electronic resource] / Antti. Kemppainen ; . - 1st ed. 2017. - [S. l. : s. n.]. - IX, 145 p. 25 illus., 10 illus. in color. - ISBN 9783319653297
    Зміст:
Рубрики: Physics.
   Mathematical physics.
   Probabilities.
   Statistical physics.
   Functions of complex variables.
   Dynamical systems.
   Mathematical Methods in Physics.
   Mathematical Physics.
   Probability Theory and Stochastic Processes.
   Statistical Physics and Dynamical Systems.
   Several Complex Variables and Analytic Spaces.
   Complex Systems.
Анотація: This book is a short, but complete, introduction to the Loewner equation and the SLEs, which are a family of random fractal curves, as well as the relevant background in probability and complex analysis. The connection to statistical physics is also developed in the text in an example case. The book is based on a course (with the same title) lectured by the author. First three chapters are devoted to the background material, but at the same time, give the reader a good understanding on the overview on the subject and on some aspects of conformal invariance. The chapter on the Loewner equation develops in detail the connection of growing hulls and the differential equation satisfied by families of conformal maps. The Schramm–Loewner evolutions are defined and their basic properties are studied in the following chapter, and the regularity properties of random curves as well as scaling limits of discrete random curves are investigated in the final chapter. The book is aimed at graduate students or researchers who want to learn the subject fairly quickly.
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Kemppainen, Antti. \.\
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16.


   
    Complex Networks & Their Applications V [Electronic resource] : proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) / / ed. Cherifi, Hocine. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - XX, 833 p. 307 illus., 236 illus. in color. - ISBN 9783319509013
Рубрики: Computational complexity.
   Physics.
   Artificial intelligence.
   Computational intelligence.
   System theory.
   Complexity.
   Applications of Graph Theory and Complex Networks.
   Artificial Intelligence.
   Computational Intelligence.
   Complex Systems.
Анотація: This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.
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Cherifi, Hocine. \ed.\; Gaito, Sabrina. \ed.\; Quattrociocchi, Walter. \ed.\; Sala, Alessandra. \ed.\
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17.


   
    Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry [Electronic resource] : 11th Italian Workshop, WIVACE 2016, Fisciano, Italy, October 4-6, 2016, Revised Selected Papers / / ed.: Rossi, Federico., Piotto, Stefano., Concilio, Simona. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 199 p. 53 illus. - ISBN 9783319577111
    Зміст:
Рубрики: Computer science—Mathematics.
   Artificial intelligence.
   System theory.
   Computer organization.
   Computers.
   Mathematics of Computing.
   Artificial Intelligence.
   Complex Systems.
   Computer Systems Organization and Communication Networks.
   Theory of Computation.
Анотація: This book constitutes the revised selected papers of the 11th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, held at Fisciano, Italy, in October 2016. The 16 full papers together with 1 short papers presented have been thoroughly reviewed and selected from 54 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modelling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.
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Rossi, Federico. \ed.\; Piotto, Stefano. \ed.\; Concilio, Simona. \ed.\
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18.


    Misbah, Chaouqi.
    Complex Dynamics and Morphogenesis [Electronic resource] : an Introduction to Nonlinear Science / / Chaouqi. Misbah ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 463 p. 179 illus. - ISBN 9789402410204
    Зміст:
Рубрики: Statistical physics.
   Physics.
   System theory.
   Biophysics.
   Biological physics.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Mathematical Methods in Physics.
   Complex Systems.
   Biological and Medical Physics, Biophysics.
Анотація: This book offers an introduction to the physics of nonlinear phenomena through two complementary approaches: bifurcation theory and catastrophe theory. Readers will be gradually introduced to the language and formalisms of nonlinear sciences, which constitute the framework to describe complex systems. The difficulty with complex systems is that their evolution cannot be fully predicted because of the interdependence and interactions between their different components. Starting with simple examples and working toward an increasing level of universalization, the work explores diverse scenarios of bifurcations and elementary catastrophes which characterize the qualitative behavior of nonlinear systems. The study of temporal evolution is undertaken using the equations that characterize stationary or oscillatory solutions, while spatial analysis introduces the fascinating problem of morphogenesis. Accessible to undergraduate university students in any discipline concerned with nonlinear phenomena (physics, mathematics, chemistry, geology, economy, etc.), this work provides a wealth of information for teachers and researchers in these various fields. Chaouqi Misbah is a senior researcher at the CNRS (National Centre of Scientific Research in France). His work spans from pattern formation in nonlinear science to complex fluids and biophysics. In 2002 he received a major award from the French Academy of Science for his achievements and in 2003 Grenoble University honoured him with a gold medal. Leader of a group of around 40 scientists, he is a member of the editorial board of the French Academy of Science since 2013 and also holds numerous national and international responsibilities.
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Misbah, Chaouqi. \.\
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19.


    Gong, Maoguo.
    Computational Intelligence for Network Structure Analytics [Electronic resource] / Maoguo. Gong, Cai, Qing. [et al.] ; . - 1st ed. 2017. - [S. l. : s. n.]. - XI, 283 p. 159 illus., 140 illus. in color. - ISBN 9789811045585
    Зміст:
Рубрики: Artificial intelligence.
   Mathematical optimization.
   System theory.
   Computers.
   Data mining.
   Artificial Intelligence.
   Optimization.
   Complex Systems.
   Theory of Computation.
   Data Mining and Knowledge Discovery.
Анотація: This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.
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Cai, Qing.; Ma, Lijia.; Wang, Shanfeng.; Lei, Yu.; Gong, Maoguo. \.\
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20.


    Haag, Günter.
    Modelling with the Master Equation [Electronic resource] : solution Methods and Applications in Social and Natural Sciences / / Günter. Haag ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXV, 342 p. 109 illus., 19 illus. in color. - ISBN 9783319603001
    Зміст:
Рубрики: Statistics .
   Regional economics.
   Spatial economics.
   Emigration and immigration.
   Game theory.
   Chemometrics.
   Statistical physics.
   Dynamical systems.
   Statistics for Social Sciences, Humanities, Law.
   Regional/Spatial Science.
   Migration.
   Game Theory, Economics, Social and Behav. Sciences.
   Math. Applications in Chemistry.
   Complex Systems.
Анотація: This book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of disciplines. The aim of the book is to not only highlight different mathematical solution methods, but also reveal their potential by means of practical examples. Part I of the book, which can be used as a toolbox, introduces selected statistical fundamentals and solution methods for the Master equation. In Part II and Part III, the Master equation approach is applied to important applications in the natural and social sciences. The case studies presented mainly hail from the social sciences, including urban and regional dynamics, population dynamics, dynamic decision theory, opinion formation and traffic dynamics; however, some applications from physics and chemistry are treated as well, underlining the interdisciplinary modelling potential of the Master equation approach. Drawing upon the author’s extensive teaching and research experience and consulting work, the book offers a valuable guide for researchers, graduate students and professionals alike.
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Haag, Günter. \.\
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