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Título : Mathematical Models in Population Biology and Epidemiology Tipo de documento: documento electrónico Autores: Fred Brauer ; SpringerLink (Online service) ; Carlos Castillo-Chavez Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Colección: Texts in Applied Mathematics, ISSN 0939-2475 num. 40 Número de páginas: XXIV, 508 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-1686-9 Idioma : Inglés (eng) Palabras clave: Mathematics Community ecology, Biotic Biomathematics Mathematical and Computational Biology & Population Ecology Clasificación: 51 Matemáticas Resumen: This textbook provides an introduction to the field of mathematical biology through the integration of classical applications in ecology with more recent applications to epidemiology, particularly in the context of spread of infectious diseases. It integrates modeling, mathematics, and applications in a semi-rigorous way, stating theoretical results and giving references but not necessarily giving detailed proofs, providing a solid introduction to the field to undergraduates (junior and senior level), graduate students in applied mathematics, ecology, epidemiology or evolutionary biology, sustainability scientists, and to researchers who must routinely read the practical and theoretical results that come from modeling in ecology and epidemiology. This new edition has been updated throughout. In particular the chapters on epidemiology have been updated and extended considerably, and there is a new chapter on spatially structured populations that incorporates dispersal. The number of problems has been increased and the number of projects has more than doubled, in particular those stressing connections to data. In addition some examples, exercises, and projects include use of Maple and Matlab. Review of first edition: "A strength of the book is the large number of biologically-motivated problem sets. These and the references to the original biological papers would be valuable resources for an instructor." (UK Nonlinear News, 2001) Nota de contenido: Part I: Simple Single-Species Models. 1. Continuous population models. 2. Discrete population models. 3. Continuous single-species population models with delay -- Part II: Models for Interacting Species. 4. Introduction and mathematical preliminaries. 5. Continuous models for two interacting populations. 6. Harvesting in two-species population models. 7. Multi-species population models -- Part III: Structured Population Models. 8. Models for population with age structure. 9. Models for populations with spatial distribution En línea: http://dx.doi.org/10.1007/978-1-4614-1686-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32766 Mathematical Models in Population Biology and Epidemiology [documento electrónico] / Fred Brauer ; SpringerLink (Online service) ; Carlos Castillo-Chavez . - New York, NY : Springer New York, 2012 . - XXIV, 508 p : online resource. - (Texts in Applied Mathematics, ISSN 0939-2475; 40) .
ISBN : 978-1-4614-1686-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Community ecology, Biotic Biomathematics Mathematical and Computational Biology & Population Ecology Clasificación: 51 Matemáticas Resumen: This textbook provides an introduction to the field of mathematical biology through the integration of classical applications in ecology with more recent applications to epidemiology, particularly in the context of spread of infectious diseases. It integrates modeling, mathematics, and applications in a semi-rigorous way, stating theoretical results and giving references but not necessarily giving detailed proofs, providing a solid introduction to the field to undergraduates (junior and senior level), graduate students in applied mathematics, ecology, epidemiology or evolutionary biology, sustainability scientists, and to researchers who must routinely read the practical and theoretical results that come from modeling in ecology and epidemiology. This new edition has been updated throughout. In particular the chapters on epidemiology have been updated and extended considerably, and there is a new chapter on spatially structured populations that incorporates dispersal. The number of problems has been increased and the number of projects has more than doubled, in particular those stressing connections to data. In addition some examples, exercises, and projects include use of Maple and Matlab. Review of first edition: "A strength of the book is the large number of biologically-motivated problem sets. These and the references to the original biological papers would be valuable resources for an instructor." (UK Nonlinear News, 2001) Nota de contenido: Part I: Simple Single-Species Models. 1. Continuous population models. 2. Discrete population models. 3. Continuous single-species population models with delay -- Part II: Models for Interacting Species. 4. Introduction and mathematical preliminaries. 5. Continuous models for two interacting populations. 6. Harvesting in two-species population models. 7. Multi-species population models -- Part III: Structured Population Models. 8. Models for population with age structure. 9. Models for populations with spatial distribution En línea: http://dx.doi.org/10.1007/978-1-4614-1686-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32766 Ejemplares
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Título : A Short History of Mathematical Population Dynamics Tipo de documento: documento electrónico Autores: Nicolas Bacaër ; SpringerLink (Online service) Editorial: London : Springer London Fecha de publicación: 2011 Número de páginas: X, 160 p. 60 illus Il.: online resource ISBN/ISSN/DL: 978-0-85729-115-8 Idioma : Inglés (eng) Palabras clave: Mathematics History Biomathematics Popular works of Mathematical Sciences Genetics and Population Dynamics Computational Biology Science, general Clasificación: 51 Matemáticas Resumen: As Eugene Wigner stressed, mathematics has proven unreasonably effective in the physical sciences and their technological applications. The role of mathematics in the biological, medical and social sciences has been much more modest but has recently grown thanks to the simulation capacity offered by modern computers.
This book traces the history of population dynamics---a theoretical subject closely connected to genetics, ecology, epidemiology and demography---where mathematics has brought significant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy; the development of stochastic models, from Mendel's laws and the question of extinction of family names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine.
The reader of this book will see, from a different perspective, the problems that scientists face when governments ask for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread of genetically modified organisms) or anticipate demographic evolutions such as aging.
Nota de contenido: The Fibonacci sequence (1202) -- Halley’s life table (1693) -- Euler and the geometric growth of populations (1748–1761) -- Daniel Bernoulli, d’Alembert and the inoculation of smallpox (1760) -- Malthus and the obstacles to geometric growth (1798) -- Verhulst and the logistic equation (1838) -- Bienaymé, Cournot and the extinction of family names (1845–1847) -- Mendel and heredity (1865) -- Galton, Watson and the extinction problem (1873–1875) -- Lotka and stable population theory (1907–1911) -- The Hardy–Weinberg law (1908) -- Ross and malaria (1911) -- Lotka, Volterra and the predator–prey system (1920–1926) -- Fisher and natural selection (1922) -- Yule and evolution (1924) -- McKendrick and Kermack on epidemic modelling (1926–1927) -- Haldane and mutations (1927) -- Erlang and Steffensen on the extinction problem (1929–1933) -- Wright and random genetic drift (1931) -- The diffusion of genes (1937) -- 21 The Leslie matrix (1945) -- 22 Percolation and epidemics (1957) -- 23 Game theory and evolution (1973) -- 24 Chaotic populations (1974) -- 25 China’s one-child policy (1980) -- 26 Some contemporary problems En línea: http://dx.doi.org/10.1007/978-0-85729-115-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33121 A Short History of Mathematical Population Dynamics [documento electrónico] / Nicolas Bacaër ; SpringerLink (Online service) . - London : Springer London, 2011 . - X, 160 p. 60 illus : online resource.
ISBN : 978-0-85729-115-8
Idioma : Inglés (eng)
Palabras clave: Mathematics History Biomathematics Popular works of Mathematical Sciences Genetics and Population Dynamics Computational Biology Science, general Clasificación: 51 Matemáticas Resumen: As Eugene Wigner stressed, mathematics has proven unreasonably effective in the physical sciences and their technological applications. The role of mathematics in the biological, medical and social sciences has been much more modest but has recently grown thanks to the simulation capacity offered by modern computers.
This book traces the history of population dynamics---a theoretical subject closely connected to genetics, ecology, epidemiology and demography---where mathematics has brought significant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy; the development of stochastic models, from Mendel's laws and the question of extinction of family names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine.
The reader of this book will see, from a different perspective, the problems that scientists face when governments ask for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread of genetically modified organisms) or anticipate demographic evolutions such as aging.
Nota de contenido: The Fibonacci sequence (1202) -- Halley’s life table (1693) -- Euler and the geometric growth of populations (1748–1761) -- Daniel Bernoulli, d’Alembert and the inoculation of smallpox (1760) -- Malthus and the obstacles to geometric growth (1798) -- Verhulst and the logistic equation (1838) -- Bienaymé, Cournot and the extinction of family names (1845–1847) -- Mendel and heredity (1865) -- Galton, Watson and the extinction problem (1873–1875) -- Lotka and stable population theory (1907–1911) -- The Hardy–Weinberg law (1908) -- Ross and malaria (1911) -- Lotka, Volterra and the predator–prey system (1920–1926) -- Fisher and natural selection (1922) -- Yule and evolution (1924) -- McKendrick and Kermack on epidemic modelling (1926–1927) -- Haldane and mutations (1927) -- Erlang and Steffensen on the extinction problem (1929–1933) -- Wright and random genetic drift (1931) -- The diffusion of genes (1937) -- 21 The Leslie matrix (1945) -- 22 Percolation and epidemics (1957) -- 23 Game theory and evolution (1973) -- 24 Chaotic populations (1974) -- 25 China’s one-child policy (1980) -- 26 Some contemporary problems En línea: http://dx.doi.org/10.1007/978-0-85729-115-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33121 Ejemplares
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Título : Cellular Genetic Algorithms Tipo de documento: documento electrónico Autores: Bernabe Dorronsoro ; SpringerLink (Online service) ; Enrique Alba Editorial: Boston, MA : Springer US Fecha de publicación: 2008 Colección: Operations Research/Computer Science Interfaces Series, ISSN 1387-666X num. 42 Número de páginas: XIV, 248 p. 72 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-77610-1 Idioma : Inglés (eng) Palabras clave: Mathematics Production management Operations research Decision making Algorithms Numerical analysis Mathematical optimization Biomathematics Analysis Operation Research/Decision Theory Genetics and Population Dynamics Management Optimization Clasificación: 51 Matemáticas Resumen: CELLULAR GENETIC ALGORITHMS defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications. These methods can include local search (memetic algorithms), cooperation, parallelism, multi-objective, estimations of distributions, and self-adaptive ideas to extend their applicability. The methods are benchmarked against well-known metaheutistics like Genetic Algorithms, Tabu Search, heterogeneous GAs, Estimation of Distribution Algorithms, etc. Also, a publicly available software tool is offered to reduce the learning curve in applying these techniques. The three final chapters will use the classic problem of "vehicle routing" and the hot topics of "ad-hoc mobile networks" and "DNA genome sequencing" to clearly illustrate and demonstrate the power and utility of these algorithms Nota de contenido: I Introduction -- to Cellular Genetic Algorithms -- The State of the Art in Cellular Evolutionary Algorithms -- II Characterizing Cellular Genetic Algorithms -- On the Effects of Structuring the Population -- Some Theory: A Selection Pressure Study on cGAs -- III Algorithmic Models and Extensions -- Algorithmic and Experimental Design -- Design of Self-adaptive cGAs -- Design of Cellular Memetic Algorithms -- Design of Parallel Cellular Genetic Algorithms -- Designing Cellular Genetic Algorithms for Multi-objective Optimization -- Other Cellular Models -- Software for cGAs: The JCell Framework -- IV Applications of cGAs -- Continuous Optimization -- Logistics: The Vehicle Routing Problem -- Telecommunications: Optimization of the Broadcasting Process in MANETs -- Bioinformatics: The DNA Fragment Assembly Problem En línea: http://dx.doi.org/10.1007/978-0-387-77610-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34236 Cellular Genetic Algorithms [documento electrónico] / Bernabe Dorronsoro ; SpringerLink (Online service) ; Enrique Alba . - Boston, MA : Springer US, 2008 . - XIV, 248 p. 72 illus : online resource. - (Operations Research/Computer Science Interfaces Series, ISSN 1387-666X; 42) .
ISBN : 978-0-387-77610-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Production management Operations research Decision making Algorithms Numerical analysis Mathematical optimization Biomathematics Analysis Operation Research/Decision Theory Genetics and Population Dynamics Management Optimization Clasificación: 51 Matemáticas Resumen: CELLULAR GENETIC ALGORITHMS defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications. These methods can include local search (memetic algorithms), cooperation, parallelism, multi-objective, estimations of distributions, and self-adaptive ideas to extend their applicability. The methods are benchmarked against well-known metaheutistics like Genetic Algorithms, Tabu Search, heterogeneous GAs, Estimation of Distribution Algorithms, etc. Also, a publicly available software tool is offered to reduce the learning curve in applying these techniques. The three final chapters will use the classic problem of "vehicle routing" and the hot topics of "ad-hoc mobile networks" and "DNA genome sequencing" to clearly illustrate and demonstrate the power and utility of these algorithms Nota de contenido: I Introduction -- to Cellular Genetic Algorithms -- The State of the Art in Cellular Evolutionary Algorithms -- II Characterizing Cellular Genetic Algorithms -- On the Effects of Structuring the Population -- Some Theory: A Selection Pressure Study on cGAs -- III Algorithmic Models and Extensions -- Algorithmic and Experimental Design -- Design of Self-adaptive cGAs -- Design of Cellular Memetic Algorithms -- Design of Parallel Cellular Genetic Algorithms -- Designing Cellular Genetic Algorithms for Multi-objective Optimization -- Other Cellular Models -- Software for cGAs: The JCell Framework -- IV Applications of cGAs -- Continuous Optimization -- Logistics: The Vehicle Routing Problem -- Telecommunications: Optimization of the Broadcasting Process in MANETs -- Bioinformatics: The DNA Fragment Assembly Problem En línea: http://dx.doi.org/10.1007/978-0-387-77610-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34236 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Mathematics for Ecology and Environmental Sciences / SpringerLink (Online service) ; Yasuhiro Takeuchi ; Yoh Iwasa ; Sato, Kazunori (2007)
Título : Mathematics for Ecology and Environmental Sciences Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Yasuhiro Takeuchi ; Yoh Iwasa ; Sato, Kazunori Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210 Número de páginas: X, 183 p Il.: online resource ISBN/ISSN/DL: 978-3-540-34428-5 Idioma : Inglés (eng) Palabras clave: Mathematics Ecology Community ecology, Biotic Applied mathematics Engineering Biomathematics Statistical physics Dynamical systems Mathematical and Computational Biology Applications of & Population Genetics Dynamics Physics, Systems Complexity Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to discuss the many rich and interesting properties of dynamical systems that appear in ecology and environmental sciences. The main topics include population dynamics with dispersal, nonlinear discrete population dynamics, structured population models, mathematical models in evolutionary ecology, stochastic spatial models in ecology, game dynamics and the chemostat model. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present important new results, and to inspire future contributions to mathematical modeling in ecology and environmental sciences Nota de contenido: Ecology as a Modern Science -- Physiologically Structured Population Models: Towards a General Mathematical Theory -- A Survey of Indirect Reciprocity -- The Effects of Migration on Persistence and Extinction -- Sexual Reproduction Process on One-Dimensional Stochastic Lattice Model -- A Mathematical Model of Gene Transfer in a Biofilm -- Nonlinearity and Stochasticity in Population Dynamics -- The Adaptive Dynamics of Community Structure En línea: http://dx.doi.org/10.1007/978-3-540-34428-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34610 Mathematics for Ecology and Environmental Sciences [documento electrónico] / SpringerLink (Online service) ; Yasuhiro Takeuchi ; Yoh Iwasa ; Sato, Kazunori . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - X, 183 p : online resource. - (Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210) .
ISBN : 978-3-540-34428-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Ecology Community ecology, Biotic Applied mathematics Engineering Biomathematics Statistical physics Dynamical systems Mathematical and Computational Biology Applications of & Population Genetics Dynamics Physics, Systems Complexity Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to discuss the many rich and interesting properties of dynamical systems that appear in ecology and environmental sciences. The main topics include population dynamics with dispersal, nonlinear discrete population dynamics, structured population models, mathematical models in evolutionary ecology, stochastic spatial models in ecology, game dynamics and the chemostat model. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present important new results, and to inspire future contributions to mathematical modeling in ecology and environmental sciences Nota de contenido: Ecology as a Modern Science -- Physiologically Structured Population Models: Towards a General Mathematical Theory -- A Survey of Indirect Reciprocity -- The Effects of Migration on Persistence and Extinction -- Sexual Reproduction Process on One-Dimensional Stochastic Lattice Model -- A Mathematical Model of Gene Transfer in a Biofilm -- Nonlinearity and Stochasticity in Population Dynamics -- The Adaptive Dynamics of Community Structure En línea: http://dx.doi.org/10.1007/978-3-540-34428-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34610 Ejemplares
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Título : Multicultural China : A Statistical Yearbook (2014) Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rongxing Guo ; Uradyn E. Bulag ; Michael A. Crang ; Thomas Heberer ; Eui-Gak Hwang ; James A. Millward ; Morris Rossabi ; Gerard A. Postiglione ; Shih, Chih-yu ; Nicholas Tapp ; Luc Changlei Guo Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: Current Chinese Economic Report Series, ISSN 2194-7937 Número de páginas: XIX, 434 p. 58 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-662-44113-8 Idioma : Inglés (eng) Palabras clave: Population Economic growth Regional economics Spatial Economics Regional/Spatial Science Growth Clasificación: 658 Empresas. Organización de empresas Resumen: With its easy-to-use format, this book provides a collection of annual data on China’s 56 ethnic groups. It is a resource book that profiles the demography, employment and wages, livelihood, agriculture, industry, education, science and technology, culture, sports, and public health for each of these ethnic groups. This material, which is compiled from a variety of sources, will be of great value to researchers, businesses, government agencies, and news media. In this book, data are presented on an ethnic group-by-ethnic group basis, and the ethnic groups are ordered alphabetically, from the Achang to the Zhuang. Though most of the data are as of 2011 – the latest year when our research was conducted, we also provide some historical data for a few of indicators. This is intended to help readers to conduct time-series comparisons and analyses Nota de contenido: Preface -- Notes on the text -- Maps -- A list of China’s ethnic groups (with English and Chinese names) -- Multicultural China: A Brief View -- Macroeconomic Conditions -- Population and Labor Force -- Employment and Wages -- People’s Livelihood -- Social Production and Rural Economy -- Education and Science and Technology -- Public Health and Social Security -- Culture and Sports -- Appendix A. China’s ethnic populations reported in the 2000 and 2010 national censuses -- Appendix B. Administrative and demographic statistics of ethnic minority autonomous areas -- Appendix C. Principal indicators on economic and social development in ethnic minority autonomous areas -- Notes -- Glossary En línea: http://dx.doi.org/10.1007/978-3-662-44113-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35768 Multicultural China : A Statistical Yearbook (2014) [documento electrónico] / SpringerLink (Online service) ; Rongxing Guo ; Uradyn E. Bulag ; Michael A. Crang ; Thomas Heberer ; Eui-Gak Hwang ; James A. Millward ; Morris Rossabi ; Gerard A. Postiglione ; Shih, Chih-yu ; Nicholas Tapp ; Luc Changlei Guo . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015 . - XIX, 434 p. 58 illus. in color : online resource. - (Current Chinese Economic Report Series, ISSN 2194-7937) .
ISBN : 978-3-662-44113-8
Idioma : Inglés (eng)
Palabras clave: Population Economic growth Regional economics Spatial Economics Regional/Spatial Science Growth Clasificación: 658 Empresas. Organización de empresas Resumen: With its easy-to-use format, this book provides a collection of annual data on China’s 56 ethnic groups. It is a resource book that profiles the demography, employment and wages, livelihood, agriculture, industry, education, science and technology, culture, sports, and public health for each of these ethnic groups. This material, which is compiled from a variety of sources, will be of great value to researchers, businesses, government agencies, and news media. In this book, data are presented on an ethnic group-by-ethnic group basis, and the ethnic groups are ordered alphabetically, from the Achang to the Zhuang. Though most of the data are as of 2011 – the latest year when our research was conducted, we also provide some historical data for a few of indicators. This is intended to help readers to conduct time-series comparisons and analyses Nota de contenido: Preface -- Notes on the text -- Maps -- A list of China’s ethnic groups (with English and Chinese names) -- Multicultural China: A Brief View -- Macroeconomic Conditions -- Population and Labor Force -- Employment and Wages -- People’s Livelihood -- Social Production and Rural Economy -- Education and Science and Technology -- Public Health and Social Security -- Culture and Sports -- Appendix A. China’s ethnic populations reported in the 2000 and 2010 national censuses -- Appendix B. Administrative and demographic statistics of ethnic minority autonomous areas -- Appendix C. Principal indicators on economic and social development in ethnic minority autonomous areas -- Notes -- Glossary En línea: http://dx.doi.org/10.1007/978-3-662-44113-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35768 Ejemplares
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