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Modeling Complex Systems, 2nd Edition, explores the process of modeling complex systems, providing examples from such diverse fields as ecology, epidemiology, sociology, seismology, and economics. It illustrates how models of complex systems are built and provides indispensable mathematical tools for studying their dynamics. This vital introductory text is useful for advanced undergraduate students in various scientific disciplines, and serves as an important reference book for graduate students and young researchers. This enhanced second edition includes: . -recent research results and bibliographic references -extra footnotes which provide biographical information on cited scientists who have made significant contributions to the field -new and improved worked-out examples to aid a student's comprehension of the content -exercises to challenge the reader and complement the material Nino Boccara is also the author of Essentials of Mathematica: With Applications to Mathematics and Physics (Springer, 2007).
Physics. --- Statistical Physics, Dynamical Systems and Complexity. --- Numerical and Computational Physics. --- Computational Science and Engineering. --- Mathematical Modeling and Industrial Mathematics. --- Theoretical Ecology/Statistics. --- Systems Theory, Control. --- Ecology. --- Systems theory. --- Computer science. --- Physique --- Ecologie --- Informatique --- System theory --- System analysis --- Mathematical models --- System theory - Mathematical models --- System analysis - Mathematical models
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This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics. This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in • vehicle routing • single machine scheduling • modern financial markets • cell formation in group technology • brain activities of left- and right-handers • speeding up algorithms for the maximum clique problem • analysis and applications of different measures in clustering The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Bioinformatics, Medicine, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques including new research directions and open questions.
Mathematical optimization -- Congresses. --- System analysis -- Data processing -- Congresses. --- System analysis -- Mathematical models -- Congresses. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Mathematical optimization --- System analysis --- Mathematical models --- Network theory --- Systems analysis --- Mathematics. --- Mathematical optimization. --- Operations research. --- Management science. --- Combinatorics. --- Optimization. --- Operations Research, Management Science. --- Network analysis --- Network science --- System theory --- Combinatorics --- Algebra --- Mathematical analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- Data processing
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Control of Complex Systems: Structural Constraints and Uncertainty focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks Control of Complex Systems: Structural Constraints and Uncertainty will appeal to practicing engineers, researchers and students working in control design and other related areas. .
Computational complexity. --- Control theory. --- Mathematical optimization. --- System analysis -- Mathematical models. --- System analysis. --- System theory -- Mathematical models. --- Control theory --- Large scale systems --- Operations Research --- Mechanical Engineering - General --- Civil & Environmental Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Complexity, Computational --- Mathematics. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Systems Theory, Control. --- Control. --- Control, Robotics, Mechatronics. --- Vibration, Dynamical Systems, Control. --- Electronic data processing --- Machine theory --- Dynamics --- Systems theory. --- Control and Systems Theory. --- Cycles --- Mechanics --- Sound --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Engineering instruments --- Programmable controllers --- Systems, Theory of --- Systems science --- Science --- Philosophy
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This interdisciplinary thesis involves the design and analysis of coordination algorithms on networks, identification of dynamic networks, and estimation on networks with random geometries with implications for networks that support the operation of dynamic systems, e.g., formations of robotic vehicles, distributed estimation via sensor networks. The results have ramifications for fault detection and isolation of large-scale networked systems and optimization models and algorithms for next generation aircraft power systems. The author finds novel applications of the methodology in energy systems, such as residential and industrial smart energy management systems.
Network analysis (Planning) -- Graphic methods. --- System analysis -- Mathematical models. --- System analysis. --- Physics --- Physical Sciences & Mathematics --- Physics - General --- System analysis --- Network analysis (Planning) --- Mathematical models. --- Graphic methods. --- Project networks --- Network theory --- Systems analysis --- Physics. --- Energy policy. --- Energy and state. --- Aerospace engineering. --- Astronautics. --- Control engineering. --- Complex Networks. --- Aerospace Technology and Astronautics. --- Energy Policy, Economics and Management. --- Control. --- Planning --- Network analysis --- Network science --- System theory --- Mathematical optimization --- Applications of Graph Theory and Complex Networks. --- Control and Systems Theory. --- Space sciences --- Aeronautics --- Astrodynamics --- Space flight --- Space vehicles --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Aeronautical engineering --- Astronautics --- Engineering --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Government policy
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Modeling Complex Systems, 2nd Edition, explores the process of modeling complex systems, providing examples from such diverse fields as ecology, epidemiology, sociology, seismology, and economics. It illustrates how models of complex systems are built and provides indispensable mathematical tools for studying their dynamics. This vital introductory text is useful for advanced undergraduate students in various scientific disciplines, and serves as an important reference book for graduate students and young researchers. This enhanced second edition includes: . -recent research results and bibliographic references -extra footnotes which provide biographical information on cited scientists who have made significant contributions to the field -new and improved worked-out examples to aid a student’s comprehension of the content -exercises to challenge the reader and complement the material Nino Boccara is also the author of Essentials of Mathematica: With Applications to Mathematics and Physics (Springer, 2007).
Electronic books. -- local. --- System analysis -- Mathematical models. --- System theory -- Mathematical models. --- System theory --- System analysis --- Civil & Environmental Engineering --- Physics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Operations Research --- Atomic Physics --- Mathematical models --- Mathematical models. --- Systems, Theory of --- Systems science --- Computer science. --- Algorithms. --- Computer simulation. --- Computer mathematics. --- Physics. --- Statistical physics. --- Dynamical systems. --- Computer Science. --- Simulation and Modeling. --- Algorithm Analysis and Problem Complexity. --- Computational Mathematics and Numerical Analysis. --- Statistical Physics, Dynamical Systems and Complexity. --- Numerical and Computational Physics. --- Computational Science and Engineering. --- Science --- Philosophy --- Computer software. --- Computer science --- Complex Systems. --- Numerical and Computational Physics, Simulation. --- Mathematics. --- Informatics --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Software, Computer --- Computer systems --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Simulation methods --- Model-integrated computing --- Mathematics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mathematical statistics --- Algorism --- Algebra --- Arithmetic --- Statistical methods --- Foundations
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The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications have spread rapidly to the natural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can be understood as a critical event which destabilizes the current state of the system, and results in a new process of self-organization leading to a new stable state. The contributions to this anthology address different aspects of the relationship between innovation and networks. The various chapters incorporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights into economics and society-related processes, and the insights into new forms of complex dynamics.
Business networks. --- Electronic books. -- local. --- Information networks -- Technological innovations. --- System analysis --- Irreversible processes --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematical models --- Information networks --- Technological innovations. --- Business networking --- Networking, Business --- Networks, Business --- Automated information networks --- Networks, Information --- Operations research. --- Decision making. --- Statistical physics. --- Dynamical systems. --- Engineering economics. --- Engineering economy. --- Electrical engineering. --- Economic theory. --- Social sciences. --- Economics. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Statistical Physics, Dynamical Systems and Complexity. --- Methodology of the Social Sciences. --- Engineering Economics, Organization, Logistics, Marketing. --- Communications Engineering, Networks. --- Operation Research/Decision Theory. --- Social networks --- Industrial clusters --- Strategic alliances (Business) --- Information services --- Information storage and retrieval systems --- Social sciences --- Telecommunication. --- Complex Systems. --- Operations Research/Decision Theory. --- Methodology. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Economy, Engineering --- Engineering economics --- Economic theory --- Political economy --- Economic man --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Electric engineering --- Engineering --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Decision making --- Statistical methods --- Mathematical models. --- Processes, Irreversible --- Dynamics --- Equilibrium --- Molecular dynamics --- Statistical mechanics --- Thermodynamics --- Nonequilibrium thermodynamics --- System analysis - Mathematical models --- Irreversible processes - Mathematical models
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