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Título : Modeling Complex Living Systems Tipo de documento: documento electrónico Autores: Nicola Bellomo ; SpringerLink (Online service) Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XII, 220 p. 37 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4600-4 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Game theory Mathematical models Biomathematics Physics Modeling and Industrial Applications of Computational Biology Theory, Economics, Social Behav. Sciences Methods in Appl.Mathematics/Computational Clasificación: 51 Matemáticas Resumen: Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems. The author develops new mathematical methods and tools—hopefully a "new" mathematics—toward the modeling of living systems. Such tools need to be far more complex than those dealing with systems of inert matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in the applied sciences. The second part of the book deals with various models and applications. The presentation unfolds using the following common approach in each chapter: * Phenomenological interpretation of the physical system in the context of mathematical modeling * Derivation of the mathematical model using methods from mathematical kinetic theory for active particles * Simulations, parameter sensitivity analysis, and critical inspection of the derived model towards validation * Overview of presented ideas to improve existing models, with special emphasis on applications Specific topics covered include: * Modeling of the competition between cells of an aggressive invasive agent and cells of the immune system * Modeling of vehicular traffic flow * Modeling of swarms and crowd dynamics in complex geometric environments * Methodological aspects related to multiscale modeling of large systems viewed as interconnected subsystems Modeling Complex Living Systems is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general Nota de contenido: From Scaling and Determinism to Kinetic Theory Representation -- Mathematical Structures of the Kinetic Theory for Active Particles -- Additional Mathematical Structures for Modeling Complex Systems -- Mathematical Frameworks -- Modeling of Social Dynamics and Economic Systems -- Mathematical Modeling -- Complex Biological Systems: -- Modeling Crowds and Swarms:Congested and Panic Flows -- Additional Concepts on the Modeling of Living Systems En línea: http://dx.doi.org/10.1007/978-0-8176-4600-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34262 Modeling Complex Living Systems [documento electrónico] / Nicola Bellomo ; SpringerLink (Online service) . - Boston, MA : Birkhäuser Boston, 2008 . - XII, 220 p. 37 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4600-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Game theory Mathematical models Biomathematics Physics Modeling and Industrial Applications of Computational Biology Theory, Economics, Social Behav. Sciences Methods in Appl.Mathematics/Computational Clasificación: 51 Matemáticas Resumen: Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems. The author develops new mathematical methods and tools—hopefully a "new" mathematics—toward the modeling of living systems. Such tools need to be far more complex than those dealing with systems of inert matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in the applied sciences. The second part of the book deals with various models and applications. The presentation unfolds using the following common approach in each chapter: * Phenomenological interpretation of the physical system in the context of mathematical modeling * Derivation of the mathematical model using methods from mathematical kinetic theory for active particles * Simulations, parameter sensitivity analysis, and critical inspection of the derived model towards validation * Overview of presented ideas to improve existing models, with special emphasis on applications Specific topics covered include: * Modeling of the competition between cells of an aggressive invasive agent and cells of the immune system * Modeling of vehicular traffic flow * Modeling of swarms and crowd dynamics in complex geometric environments * Methodological aspects related to multiscale modeling of large systems viewed as interconnected subsystems Modeling Complex Living Systems is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general Nota de contenido: From Scaling and Determinism to Kinetic Theory Representation -- Mathematical Structures of the Kinetic Theory for Active Particles -- Additional Mathematical Structures for Modeling Complex Systems -- Mathematical Frameworks -- Modeling of Social Dynamics and Economic Systems -- Mathematical Modeling -- Complex Biological Systems: -- Modeling Crowds and Swarms:Congested and Panic Flows -- Additional Concepts on the Modeling of Living Systems En línea: http://dx.doi.org/10.1007/978-0-8176-4600-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34262 Ejemplares
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Título : An Introduction to Queueing Theory : Modeling and Analysis in Applications Tipo de documento: documento electrónico Autores: U. Narayan Bhat ; SpringerLink (Online service) Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology Número de páginas: XII, 268 p. 5 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4725-4 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical models Operations research Management science Probabilities Statistics Industrial engineering Production Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences Research, Science Statistical Methods Modeling Engineering Clasificación: 51 Matemáticas Resumen: This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research Nota de contenido: System Element Models -- Basic Concepts in Stochastic Processes -- Simple Markovian Queueing Systems -- Imbedded Markov Chain Models -- Extended Markov Models -- Queueing Networks -- Renewal Process Models -- The General Queue //1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Poisson Process: Properties and Related Distributions -- Markov Process -- Results from Mathematics En línea: http://dx.doi.org/10.1007/978-0-8176-4725-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34282 An Introduction to Queueing Theory : Modeling and Analysis in Applications [documento electrónico] / U. Narayan Bhat ; SpringerLink (Online service) . - Boston : Birkhäuser Boston, 2008 . - XII, 268 p. 5 illus : online resource. - (Statistics for Industry and Technology) .
ISBN : 978-0-8176-4725-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical models Operations research Management science Probabilities Statistics Industrial engineering Production Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences Research, Science Statistical Methods Modeling Engineering Clasificación: 51 Matemáticas Resumen: This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research Nota de contenido: System Element Models -- Basic Concepts in Stochastic Processes -- Simple Markovian Queueing Systems -- Imbedded Markov Chain Models -- Extended Markov Models -- Queueing Networks -- Renewal Process Models -- The General Queue //1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Poisson Process: Properties and Related Distributions -- Markov Process -- Results from Mathematics En línea: http://dx.doi.org/10.1007/978-0-8176-4725-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34282 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Cardiovascular Mathematics / SpringerLink (Online service) ; Luca Formaggia ; Alfio Quarteroni ; Alessandro Veneziani (2009)
Título : Cardiovascular Mathematics : Modeling and simulation of the circulatory system Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Luca Formaggia ; Alfio Quarteroni ; Alessandro Veneziani Editorial: Milano : Springer Milan Fecha de publicación: 2009 Colección: MS&A, ISSN 2037-5255 num. 1 Número de páginas: XIII, 522 p Il.: online resource ISBN/ISSN/DL: 978-88-470-1152-6 Idioma : Inglés (eng) Palabras clave: Mathematics Cardiology Partial differential equations Applied mathematics Engineering Mathematical models Biomathematics Applications of and Computational Biology Physiological, Cellular Medical Topics Modeling Industrial Differential Equations Clasificación: 51 Matemáticas Resumen: Cardiovascular diseases have a major impact in Western countries. Mathematical models and numerical simulations can help the understanding of physiological and pathological processes, complementing the information provided to medical doctors by medical imaging and other non-invasive means, and opening the possibility of a better diagnosis and more in-depth surgical planning.This book offers a mathematically sound and up-to-date foundation to the training of researchers, and serves as a useful reference for the development of mathematical models and numerical simulation codes. It is structured into different chapters, written by recognized experts in the field, and however it features a common thread, with consistency of notation and expressions and systematic cross-referencing. Many fundamental issues are faced, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls; the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and simulation techniques. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling how the cardiovascular system works Nota de contenido: Physiology and pathology of the cardiovascular system: A physical perspective -- Basic mathematical models and motivations -- The derivation of the equations for fluids and structure -- From image data to computational domains -- Geometry and flow -- Rheological models for blood -- Mathematical models of mass transfer in the vascular walls -- Analysis of coupled models for fluid-structure interaction of internal flows -- Algorithms for fluid-structure interaction problems -- Reduced models of the cardiovascular system -- Multiscale models of the vascular system -- Applications and test cases En línea: http://dx.doi.org/10.1007/978-88-470-1152-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34129 Cardiovascular Mathematics : Modeling and simulation of the circulatory system [documento electrónico] / SpringerLink (Online service) ; Luca Formaggia ; Alfio Quarteroni ; Alessandro Veneziani . - Milano : Springer Milan, 2009 . - XIII, 522 p : online resource. - (MS&A, ISSN 2037-5255; 1) .
ISBN : 978-88-470-1152-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Cardiology Partial differential equations Applied mathematics Engineering Mathematical models Biomathematics Applications of and Computational Biology Physiological, Cellular Medical Topics Modeling Industrial Differential Equations Clasificación: 51 Matemáticas Resumen: Cardiovascular diseases have a major impact in Western countries. Mathematical models and numerical simulations can help the understanding of physiological and pathological processes, complementing the information provided to medical doctors by medical imaging and other non-invasive means, and opening the possibility of a better diagnosis and more in-depth surgical planning.This book offers a mathematically sound and up-to-date foundation to the training of researchers, and serves as a useful reference for the development of mathematical models and numerical simulation codes. It is structured into different chapters, written by recognized experts in the field, and however it features a common thread, with consistency of notation and expressions and systematic cross-referencing. Many fundamental issues are faced, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls; the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and simulation techniques. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling how the cardiovascular system works Nota de contenido: Physiology and pathology of the cardiovascular system: A physical perspective -- Basic mathematical models and motivations -- The derivation of the equations for fluids and structure -- From image data to computational domains -- Geometry and flow -- Rheological models for blood -- Mathematical models of mass transfer in the vascular walls -- Analysis of coupled models for fluid-structure interaction of internal flows -- Algorithms for fluid-structure interaction problems -- Reduced models of the cardiovascular system -- Multiscale models of the vascular system -- Applications and test cases En línea: http://dx.doi.org/10.1007/978-88-470-1152-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34129 Ejemplares
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Título : Complex Systems and Society : Modeling and Simulation Tipo de documento: documento electrónico Autores: Nicola Bellomo ; SpringerLink (Online service) ; Giulia Ajmone Marsan ; Andrea Tosin Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: SpringerBriefs in Mathematics, ISSN 2191-8198 Número de páginas: XII, 90 p. 12 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-7242-1 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Game theory System Mathematical models Economic Social sciences Modeling and Industrial Theory/Quantitative Economics/Mathematical Methods Complex Systems Sciences, general Theory, Economics, Behav. Sciences Applications of Clasificación: 51 Matemáticas Resumen: This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems Nota de contenido: 1. The Role of Individual Behaviors in Socio-Economic Sciences -- 2. Mathematical Tools for Modeling Social Complex Systems -- 3. Modeling Cooperation and Competition in Socio-Economic Systems -- 4. Welfare Policy: Applications and Simulations -- 5. Forward Look at Research Perspectives -- References En línea: http://dx.doi.org/10.1007/978-1-4614-7242-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32342 Complex Systems and Society : Modeling and Simulation [documento electrónico] / Nicola Bellomo ; SpringerLink (Online service) ; Giulia Ajmone Marsan ; Andrea Tosin . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XII, 90 p. 12 illus. in color : online resource. - (SpringerBriefs in Mathematics, ISSN 2191-8198) .
ISBN : 978-1-4614-7242-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Game theory System Mathematical models Economic Social sciences Modeling and Industrial Theory/Quantitative Economics/Mathematical Methods Complex Systems Sciences, general Theory, Economics, Behav. Sciences Applications of Clasificación: 51 Matemáticas Resumen: This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems Nota de contenido: 1. The Role of Individual Behaviors in Socio-Economic Sciences -- 2. Mathematical Tools for Modeling Social Complex Systems -- 3. Modeling Cooperation and Competition in Socio-Economic Systems -- 4. Welfare Policy: Applications and Simulations -- 5. Forward Look at Research Perspectives -- References En línea: http://dx.doi.org/10.1007/978-1-4614-7242-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32342 Ejemplares
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Título : Hemodynamical Flows : Modeling, Analysis and Simulation Tipo de documento: documento electrónico Autores: Giovanni P. Galdi ; SpringerLink (Online service) ; Anne M. Robertson ; Rolf Rannacher ; Stefan Turek Editorial: Basel : Birkhäuser Basel Fecha de publicación: 2008 Colección: Oberwolfach Seminars num. 37 Número de páginas: XII, 501 p Il.: online resource ISBN/ISSN/DL: 978-3-7643-7806-6 Idioma : Inglés (eng) Palabras clave: Medicine Human physiology Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Biomedicine Physiology Modeling and Industrial Mathematics Simulation Applications of Physiological, Cellular Medical Topics Computational Numerical Analysis Clasificación: 51 Matemáticas Nota de contenido: Review of Relevant Continuum Mechanics -- Hemorheology -- Mathematical Problems in Classical and Non-Newtonian Fluid Mechanics -- Methods for Numerical Flow Simulation -- Numerics of Fluid-Structure Interaction -- Numerical Techniques for Multiphase Flow with Liquid-Solid Interaction En línea: http://dx.doi.org/10.1007/978-3-7643-7806-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34385 Hemodynamical Flows : Modeling, Analysis and Simulation [documento electrónico] / Giovanni P. Galdi ; SpringerLink (Online service) ; Anne M. Robertson ; Rolf Rannacher ; Stefan Turek . - Basel : Birkhäuser Basel, 2008 . - XII, 501 p : online resource. - (Oberwolfach Seminars; 37) .
ISBN : 978-3-7643-7806-6
Idioma : Inglés (eng)
Palabras clave: Medicine Human physiology Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Biomedicine Physiology Modeling and Industrial Mathematics Simulation Applications of Physiological, Cellular Medical Topics Computational Numerical Analysis Clasificación: 51 Matemáticas Nota de contenido: Review of Relevant Continuum Mechanics -- Hemorheology -- Mathematical Problems in Classical and Non-Newtonian Fluid Mechanics -- Methods for Numerical Flow Simulation -- Numerics of Fluid-Structure Interaction -- Numerical Techniques for Multiphase Flow with Liquid-Solid Interaction En línea: http://dx.doi.org/10.1007/978-3-7643-7806-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34385 Ejemplares
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