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Modeling Evolution


Modeling Evolution
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Modeling Evolution


Modeling Evolution
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Author : Derek A. Roff
language : en
Publisher: Oxford University Press, USA
Release Date : 2010

Modeling Evolution written by Derek A. Roff and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


Computer modeling is now an integral part of research in evolutionary biology. This book outlines how evolutionary questions are formulated and how, in practice, they can be resolved by analytical and numerical methods.



A Biologist S Guide To Mathematical Modeling In Ecology And Evolution


A Biologist S Guide To Mathematical Modeling In Ecology And Evolution
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Author : Sarah P. Otto
language : en
Publisher: Princeton University Press
Release Date : 2011-09-19

A Biologist S Guide To Mathematical Modeling In Ecology And Evolution written by Sarah P. Otto and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-19 with Science categories.


Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available



Models And Algorithms For Genome Evolution


Models And Algorithms For Genome Evolution
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Author : Cedric Chauve
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-17

Models And Algorithms For Genome Evolution written by Cedric Chauve and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-17 with Computers categories.


This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.



Landscape Erosion And Evolution Modeling


Landscape Erosion And Evolution Modeling
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Author : Russell S. Harmon
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Landscape Erosion And Evolution Modeling written by Russell S. Harmon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Landscapes are characterized by a wide variation, both spatially and temporally, of tolerance and response to natural processes and anthropogenic stress. These tolerances and responses can be analyzed through individual landscape parameters, such as soils, vegetation, water, etc., or holistically through ecosystem or watershed studies. However, such approaches are both time consuming and costly. Soil erosion and landscape evolution modeling provide a simulation environment in which both the short- and long-term consequences of land-use activities and alternative land use strategies can be compared and evaluated. Such models provide the foundation for the development of land management decision support systems. Landscape Erosion and Evolution Modeling is a state-of-the-art, interdisciplinary volume addressing the broad theme of soil erosion and landscape evolution modeling from different philosophical and technical approaches, ranging from those developed from considerations of first-principle soil/water physics and mechanics to those developed empirically according to sets of behavioral or empirical rules deriving from field observations and measurements. The validation and calibration of models through field studies is also included. This volume will be essential reading for researchers in earth, environmental and ecosystem sciences, hydrology, civil engineering, forestry, soil science, agriculture and climate change studies. In addition, it will have direct relevance to the public and private land management communities.



Evolution Of Thin Film Morphology


Evolution Of Thin Film Morphology
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Author : Matthew Pelliccione
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-29

Evolution Of Thin Film Morphology written by Matthew Pelliccione and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-29 with Technology & Engineering categories.


The focus of this book is on modeling and simulations used in research on the morphological evolution during film growth. The authors emphasize the detailed mathematical formulation of the problem. The book will enable readers themselves to set up a computational program to investigate specific topics of interest in thin film deposition. It will benefit those working in any discipline that requires an understanding of thin film growth processes.



Modelling Evolution


Modelling Evolution
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Author : Eugene Earnshaw-Whyte
language : en
Publisher: Routledge
Release Date : 2018-07-06

Modelling Evolution written by Eugene Earnshaw-Whyte and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Philosophy categories.


Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility of evolutionary explanations have proved tempting to scientists outside of biology, but adapting evolutionary concepts to new domains has been challenging. Even within biology, there are many difficult questions and problem cases that face evolutionary theory. Modelling Evolution offers a new, general account of evolution by natural selection that identifies the essential features of evolutionary models that transcend any particular discipline. Evolution by natural selection in its broad sense is the systemic advantage of a type, in contrast to the narrow definition using heritable variation in fitness. This account is explained, contextualised and applied to a variety of questions in both biology and the social sciences. Offering an accessible and comprehensive account of evolution that is applicable both to biology and the broader social sciences, Modelling Evolution will appeal to students and researchers interested in fields such as biology, economics, sociology, history, and psychology.



Probabilistic Models Of Population Evolution


Probabilistic Models Of Population Evolution
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Author : Étienne Pardoux
language : en
Publisher: Springer
Release Date : 2016-06-17

Probabilistic Models Of Population Evolution written by Étienne Pardoux and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Mathematics categories.


This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications. Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.



An Introduction To Methods And Models In Ecology Evolution And Conservation Biology


An Introduction To Methods And Models In Ecology Evolution And Conservation Biology
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Author : Stanton Braude
language : en
Publisher: Princeton University Press
Release Date : 2010-01-04

An Introduction To Methods And Models In Ecology Evolution And Conservation Biology written by Stanton Braude and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-04 with Science categories.


An innovative introduction to ecology and evolution This unique textbook introduces undergraduate students to quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation. It explores the core concepts shared by these related fields using tools and practical skills such as experimental design, generating phylogenies, basic statistical inference, and persuasive grant writing. And contributors use examples from their own cutting-edge research, providing diverse views to engage students and broaden their understanding. This is the only textbook on the subject featuring a collaborative "active learning" approach that emphasizes hands-on learning. Every chapter has exercises that enable students to work directly with the material at their own pace and in small groups. Each problem includes data presented in a rich array of formats, which students use to answer questions that illustrate patterns, principles, and methods. Topics range from Hardy-Weinberg equilibrium and population effective size to optimal foraging and indices of biodiversity. The book also includes a comprehensive glossary. In addition to the editors, the contributors are James Beck, Cawas Behram Engineer, John Gaskin, Luke Harmon, Jon Hess, Jason Kolbe, Kenneth H. Kozak, Robert J. Robertson, Emily Silverman, Beth Sparks-Jackson, and Anton Weisstein. Provides experience with hypothesis testing, experimental design, and scientific reasoning Covers core quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation Turns "discussion sections" into "thinking labs" Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html



Probability Models For Dna Sequence Evolution


Probability Models For Dna Sequence Evolution
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Author : Rick Durrett
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Probability Models For Dna Sequence Evolution written by Rick Durrett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.


Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability? To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from "neutral evolution." The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of six books and 125 research papers, and is the academic father of more than 30 Ph.D. students. His current interests are the use of probability models in genetics and ecology, and decreasing the mean and variance of his golf.



Model Based Development And Evolution Of Information Systems


Model Based Development And Evolution Of Information Systems
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Author : John Krogstie
language : en
Publisher:
Release Date : 2012

Model Based Development And Evolution Of Information Systems written by John Krogstie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computer simulation categories.


There is no single approach to modelling and model-based systems development that is best for all possible situations. Therefore, a high-level overview is needed in order to evaluate the options and identify the optimal approach. This unique textbook/reference introduces and describes in detail the SEQUAL framework for understanding the quality of models and modelling languages, including the numerous specialisations of the generic framework, and the various ways in which this can be used for different applications. Examples are provided from the application of SEQUAL in industrial and governmental settings. Topics and features:Contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviationsPresents a thorough introduction to the most important concepts in conceptual modelling, including the underlying philosophical outlook on the quality of modelsDescribes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system developmentProvides an overview of the general mechanisms and perspectives used in conceptual modellingPredicts future trends in technological development, and discusses how the role of modelling can be envisaged in this landscapeThis didactic guide is essential reading for postgraduate students of computer science, software engineering and information systems wishing to learn more about conceptual modelling in their preparation for professional practice. Developers of information systems will also find the book an ideal reference to support their professional activity. Dr. John Krogstie is a Professor of Information Systems in the Department of Computer and Information Science at the Norwegian University of Science and Technology, Trondheim, Norway.