Lecture Notes In Biomathematics

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Frontiers in Mathematical Biology

Author : Simon A. Levin
Publisher : Springer Science & Business Media
ISBN 13 : 3642501249
Total Pages : 637 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Frontiers in Mathematical Biology by : Simon A. Levin

Download or read book Frontiers in Mathematical Biology written by Simon A. Levin and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a mathematical point of view, physiologically structured population models are an underdeveloped branch of the theory of infinite dimensional dynamical systems. We have called attention to four aspects: (i) A choice has to be made about the kind of equations one extracts from the predominantly verbal arguments about the basic assumptions, and subsequently uses as a starting point for a rigorous mathematical analysis. Though differential equations are easy to formulate (different mechanisms don't interact in infinites imal time intervals and so end up as separate terms in the equations) they may be hard to interpret rigorously as infinitesimal generators. Integral equations constitute an attractive alternative. (ii) The ability of physiologically structured population models to increase our un derstanding of the relation between mechanisms at the i-level and phenomena at the p-level will depend strongly on the development of dynamical systems lab facilities which are applicable to this class of models. (iii) Physiologically structured population models are ideally suited for the for mulation of evolutionary questions. Apart from the special case of age (see Charlesworth 1980, Yodzis 1989, Caswell 1989, and the references given there) hardly any theory exists at the moment. This will, hopefully, change rapidly in the coming years. Again the development of appropriate software may turn out to be crucial.

Methods and Models in Mathematical Biology

Author : Johannes Müller
Publisher : Springer
ISBN 13 : 3642272517
Total Pages : 711 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Methods and Models in Mathematical Biology by : Johannes Müller

Download or read book Methods and Models in Mathematical Biology written by Johannes Müller and published by Springer. This book was released on 2015-08-13 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.

Mathematical Structures of Epidemic Systems

Author : Vincenzo Capasso
Publisher : Springer Science & Business Media
ISBN 13 : 3540565264
Total Pages : 291 pages
Book Rating : 4.5/5 (45 download)

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Book Synopsis Mathematical Structures of Epidemic Systems by : Vincenzo Capasso

Download or read book Mathematical Structures of Epidemic Systems written by Vincenzo Capasso and published by Springer Science & Business Media. This book was released on 2008-08-06 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dynamics of infectious diseases represents one of the oldest and ri- est areas of mathematical biology. From the classical work of Hamer (1906) and Ross (1911) to the spate of more modern developments associated with Anderson and May, Dietz, Hethcote, Castillo-Chavez and others, the subject has grown dramatically both in volume and in importance. Given the pace of development, the subject has become more and more di?use, and the need to provide a framework for organizing the diversity of mathematical approaches has become clear. Enzo Capasso, who has been a major contributor to the mathematical theory, has done that in the present volume, providing a system for organizing and analyzing a wide range of models, depending on the str- ture of the interaction matrix. The ?rst class, the quasi-monotone or positive feedback systems, can be analyzed e?ectively through the use of comparison theorems, that is the theory of order-preserving dynamical systems; the s- ond, the skew-symmetrizable systems, rely on Lyapunov methods. Capasso develops the general mathematical theory, and considers a broad range of - amples that can be treated within one or the other framework. In so doing, he has provided the ?rst steps towards the uni?cation of the subject, and made an invaluable contribution to the Lecture Notes in Biomathematics. Simon A. Levin Princeton, January 1993 Author’s Preface to Second Printing In the Preface to the First Printing of this volume I wrote: \ . .

Lindenmayer Systems, Fractals, and Plants

Author : Przemyslaw Prusinkiewicz
Publisher : Springer Science & Business Media
ISBN 13 : 1475714289
Total Pages : 127 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Lindenmayer Systems, Fractals, and Plants by : Przemyslaw Prusinkiewicz

Download or read book Lindenmayer Systems, Fractals, and Plants written by Przemyslaw Prusinkiewicz and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1-systems are a mathematical formalism which was proposed by Aristid 1indenmayer in 1968 as a foundation for an axiomatic theory of develop ment. The notion promptly attracted the attention of computer scientists, who investigated 1-systems from the viewpoint of formal language theory. This theoretical line of research was pursued very actively in the seventies, resulting in over one thousand publications. A different research direction was taken in 1984 by Alvy Ray Smith, who proposed 1-systems as a tool for synthesizing realistic images of plants and pointed out the relationship between 1-systems and the concept of fractals introduced by Benoit Mandel brot. The work by Smith inspired our studies of the application of 1-systems to computer graphics. Originally, we were interested in two problems: • Can 1-systems be used as a realistic model of plant species found in nature? • Can 1-systems be applied to generate images of a wide class of fractals? It turned out that both questions had affirmative answers. Subsequently we found that 1-systems could be applied to other areas, such as the generation of tilings, reproduction of a geometric art form from East India, and synthesis of musical scores based on an interpretation of fractals. This book collects our results related to the graphical applications of- systems. It is a corrected version of the notes which we prepared for the ACM SIGGRAPH '88 course on fractals.

The Dynamics of Physiologically Structured Populations

Author : Johan A. Metz
Publisher : Springer
ISBN 13 : 3662131595
Total Pages : 526 pages
Book Rating : 4.6/5 (621 download)

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Book Synopsis The Dynamics of Physiologically Structured Populations by : Johan A. Metz

Download or read book The Dynamics of Physiologically Structured Populations written by Johan A. Metz and published by Springer. This book was released on 2014-03-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Diffusion Processes and Related Topics in Biology

Author : Luigi M. Ricciardi
Publisher : Springer Science & Business Media
ISBN 13 : 364293059X
Total Pages : 207 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Diffusion Processes and Related Topics in Biology by : Luigi M. Ricciardi

Download or read book Diffusion Processes and Related Topics in Biology written by Luigi M. Ricciardi and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes are based on a one-quarter course given at the Department of Biophysics and Theoretical Biology of the University of Chicago in 1916. The course was directed to graduate students in the Division of Biological Sciences with interests in population biology and neurobiology. Only a slight acquaintance with probability and differential equations is required of the reader. Exercises are interwoven with the text to encourage the reader to play a more active role and thus facilitate his digestion of the material. One aim of these notes is to provide a heuristic approach, using as little mathematics as possible, to certain aspects of the theory of stochastic processes that are being increasingly employed in some of the population biol ogy and neurobiology literature. While the subject may be classical, the nov elty here lies in the approach and point of view, particularly in the applica tions such as the approach to the neuronal firing problem and its related dif fusion approximations. It is a pleasure to thank Professors Richard C. Lewontin and Arnold J.F. Siegert for their interest and support, and Mrs. Angell Pasley for her excellent and careful typing. I . PRELIMINARIES 1. Terminology and Examples Consider an experiment specified by: a) the experiment's outcomes, ~, forming the space S; b) certain subsets of S (called events) and by the probabilities of these events.

Mathematical and Statistical Approaches to AIDS Epidemiology

Author : Carlos Castillo-Chavez
Publisher : Springer Science & Business Media
ISBN 13 : 3642934544
Total Pages : 416 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Mathematical and Statistical Approaches to AIDS Epidemiology by : Carlos Castillo-Chavez

Download or read book Mathematical and Statistical Approaches to AIDS Epidemiology written by Carlos Castillo-Chavez and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 18 research articles of this volume discuss the major themes that have emerged from mathematical and statistical research in the epidemiology of HIV. The opening paper reviews important recent contributions. Five sections follow: Statistical Methodology and Forecasting, Infectivity and the HIV, Heterogeneity and HIV Transmission Dynamics, Social Dynamics and AIDS, and The Immune System and The HIV. In each, leading experts in AIDS epidemiology present the recent results. Some address the role of variable infectivity, heterogeneous mixing, and long periods of infectiousness in the dynamics of HIV; others concentrate on parameter estimation and short-term forecasting. The last section looks at the interaction between the HIV and the immune system.

Stochastic Chemical Reaction Systems in Biology

Author : Hong Qian
Publisher : Springer Nature
ISBN 13 : 3030862526
Total Pages : 364 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Stochastic Chemical Reaction Systems in Biology by : Hong Qian

Download or read book Stochastic Chemical Reaction Systems in Biology written by Hong Qian and published by Springer Nature. This book was released on 2021-10-18 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a coherent set of probabilistic techniques and mathematical tools which can be used for the simulation and analysis of various biological phenomena. These tools are illustrated on a number of examples. For each example, the biological background is described, and mathematical models are developed following a unified set of principles. These models are then analyzed and, finally, the biological implications of the mathematical results are interpreted. The biological topics covered include gene expression, biochemistry, cellular regulation, and cancer biology. The book will be accessible to graduate students who have a strong background in differential equations, the theory of nonlinear dynamical systems, Markovian stochastic processes, and both discrete and continuous state spaces, and who are familiar with the basic concepts of probability theory.

Mathematical Models in Medicine

Author : J. Berger
Publisher : Springer
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.:/5 (42 download)

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Book Synopsis Mathematical Models in Medicine by : J. Berger

Download or read book Mathematical Models in Medicine written by J. Berger and published by Springer. This book was released on 1976-08-20 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work contains the congresses from a 1976 conference at Mainz, which evaluated the possibilities and limitations of mathematical models in the medical field.

Oscillations in Mathematical Biology

Author : Jonathan P. E. Hodgson
Publisher :
ISBN 13 : 9780387126708
Total Pages : 196 pages
Book Rating : 4.1/5 (267 download)

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Book Synopsis Oscillations in Mathematical Biology by : Jonathan P. E. Hodgson

Download or read book Oscillations in Mathematical Biology written by Jonathan P. E. Hodgson and published by . This book was released on 1974 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Gonorrhea Transmission Dynamics and Control

Author : H. W. Hethcote
Publisher : Springer
ISBN 13 : 366207544X
Total Pages : 116 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Gonorrhea Transmission Dynamics and Control by : H. W. Hethcote

Download or read book Gonorrhea Transmission Dynamics and Control written by H. W. Hethcote and published by Springer. This book was released on 2014-03-11 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Biomathematical Models

Author : Mostafa Bachar
Publisher : Springer
ISBN 13 : 3642321577
Total Pages : 216 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Stochastic Biomathematical Models by : Mostafa Bachar

Download or read book Stochastic Biomathematical Models written by Mostafa Bachar and published by Springer. This book was released on 2012-10-19 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems. In certain biological systems, stochastic effects may even enhance a signal, thus providing a biological motivation for the noise observed in living systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and this book provides researchers in computational neuroscience and stochastic systems with an overview of recent developments. Key concepts are developed in chapters written by experts in their respective fields. Topics include: one-dimensional homogeneous diffusions and their boundary behavior, large deviation theory and its application in stochastic neurobiological models, a review of mathematical methods for stochastic neuronal integrate-and-fire models, stochastic partial differential equation models in neurobiology, and stochastic modeling of spreading cortical depression.

Integrodifferential Equations and Delay Models in Population Dynamics

Author : J. M. Cushing
Publisher : Springer Science & Business Media
ISBN 13 : 3642930735
Total Pages : 202 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Integrodifferential Equations and Delay Models in Population Dynamics by : J. M. Cushing

Download or read book Integrodifferential Equations and Delay Models in Population Dynamics written by J. M. Cushing and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes are, for the most part, the result of a course I taught at the University of Arizona during the Spring of 1977. Their main purpose is to inves tigate the effect that delays (of Volterra integral type) have when placed in the differential models of mathematical ecology, as far as stability of equilibria and the nature of oscillations of species densities are concerned. A secondary pur pose of the course out of which they evolved was to give students an (at least elementary) introduction to some mathematical modeling in ecology as well as to some purely mathematical subjects, such as stability theory for integrodifferentia1 systems, bifurcation theory, and some simple topics in perturbation theory. The choice of topics of course reflects my personal interests; and while these notes were not meant to exhaust the topics covered, I think they and the list of refer ences come close to covering the literature to date, as far as integrodifferentia1 models in ecology are concerned. I would like to thank the students who took the course and consequently gave me the opportunity and stimulus to organize these notes. Special thanks go to Professor Paul Fife and Dr. George Swan who also sat in the course and were quite helpful with their comments and observations. Also deserving thanks are Professor Robert O'Malley and Ms. Louise C. Fields of the Applied Mathematics Program here at the University of Arizona. Ms. Fields did an outstandingly efficient and accu rate typing of the manuscript.

Mathematical Aspects of Reacting and Diffusing Systems

Author : P. C. Fife
Publisher : Springer Science & Business Media
ISBN 13 : 3642931111
Total Pages : 192 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Mathematical Aspects of Reacting and Diffusing Systems by : P. C. Fife

Download or read book Mathematical Aspects of Reacting and Diffusing Systems written by P. C. Fife and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and analyzing the dynamics of chemical mixtures by means of differ- tial equations is one of the prime concerns of chemical engineering theorists. These equations often take the form of systems of nonlinear parabolic partial d- ferential equations, or reaction-diffusion equations, when there is diffusion of chemical substances involved. A good overview of this endeavor can be had by re- ing the two volumes by R. Aris (1975), who himself was one of the main contributors to the theory. Enthusiasm for the models developed has been shared by parts of the mathematical community, and these models have, in fact, provided motivation for some beautiful mathematical results. There are analogies between chemical reactors and certain biological systems. One such analogy is rather obvious: a single living organism is a dynamic structure built of molecules and ions, many of which react and diffuse. Other analogies are less obvious; for example, the electric potential of a membrane can diffuse like a chemical, and of course can interact with real chemical species (ions) which are transported through the membrane. These facts gave rise to Hodgkin's and Huxley's celebrated model for the propagation of nerve signals. On the level of populations, individuals interact and move about, and so it is not surprising that here, again, the simplest continuous space-time interaction-migration models have the same g- eral appearance as those for diffusing and reacting chemical systems.

Topics in Mathematical Biology

Author : Karl Peter Hadeler
Publisher : Springer
ISBN 13 : 331965621X
Total Pages : 353 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Topics in Mathematical Biology by : Karl Peter Hadeler

Download or read book Topics in Mathematical Biology written by Karl Peter Hadeler and published by Springer. This book was released on 2017-12-20 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyzes the impact of quiescent phases on biological models. Quiescence arises, for example, when moving individuals stop moving, hunting predators take a rest, infected individuals are isolated, or cells enter the quiescent compartment of the cell cycle. In the first chapter of Topics in Mathematical Biology general principles about coupled and quiescent systems are derived, including results on shrinking periodic orbits and stabilization of oscillations via quiescence. In subsequent chapters classical biological models are presented in detail and challenged by the introduction of quiescence. These models include delay equations, demographic models, age structured models, Lotka-Volterra systems, replicator systems, genetic models, game theory, Nash equilibria, evolutionary stable strategies, ecological models, epidemiological models, random walks and reaction-diffusion models. In each case we find new and interesting results such as stability of fixed points and/or periodic orbits, excitability of steady states, epidemic outbreaks, survival of the fittest, and speeds of invading fronts. The textbook is intended for graduate students and researchers in mathematical biology who have a solid background in linear algebra, differential equations and dynamical systems. Readers can find gems of unexpected beauty within these pages, and those who knew K.P. (as he was often called) well will likely feel his presence and hear him speaking to them as they read.

Mathematical Models in Cell Biology and Cancer Chemotherapy

Author : M. Eisen
Publisher : Springer Science & Business Media
ISBN 13 : 364293126X
Total Pages : 444 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Mathematical Models in Cell Biology and Cancer Chemotherapy by : M. Eisen

Download or read book Mathematical Models in Cell Biology and Cancer Chemotherapy written by M. Eisen and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to show how mathematics can be applied to improve cancer chemotherapy. Unfortunately, most drugs used in treating cancer kill both normal and abnormal cells. However, more cancer cells than normal cells can be destroyed by the drug because tumor cells usually exhibit different growth kinetics than normal cells. To capitalize on this last fact, cell kinetics must be studied by formulating mathematical models of normal and abnormal cell growth. These models allow the therapeutic and harmful effects of cancer drugs to be simulated quantitatively. The combined cell and drug models can be used to study the effects of different methods of administering drugs. The least harmful method of drug administration, according to a given criterion, can be found by applying optimal control theory. The prerequisites for reading this book are an elementary knowledge of ordinary differential equations, probability, statistics, and linear algebra. In order to make this book self-contained, a chapter on cell biology and a chapter on control theory have been included. Those readers who have had some exposure to biology may prefer to omit Chapter I (Cell Biology) and only use it as a reference when required. However, few biologists have been exposed to control theory. Chapter 7 provides a short, coherent and comprehensible presentation of this subject. The concepts of control theory are necessary for a full understanding of Chapters 8 and 9.

Population Dynamics in Variable Environments

Author : Shripad Tuljapurkar
Publisher : Springer Science & Business Media
ISBN 13 : 3642516521
Total Pages : 148 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Population Dynamics in Variable Environments by : Shripad Tuljapurkar

Download or read book Population Dynamics in Variable Environments written by Shripad Tuljapurkar and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demography relates observable facts about individuals to the dynamics of populations. If the dynamics are linear and do not change over time, the classical theory of Lotka (1907) and Leslie (1945) is the central tool of demography. This book addresses the situation when the assumption of constancy is dropped. In many practical situations, a population will display unpredictable variation over time in its vital rates, which must then be described in statistical terms. Most of this book is concerned with the theory of populations which are subject to random temporal changes in their vital rates, although other kinds of variation (e. g. , cyclical) are also dealt with. The central questions are: how does temporal variation work its way into a population's future, and how does it affect our interpretation of a population's past. The results here are directed at demographers of humans and at popula tion biologists. The uneven mathematical level is dictated by the material, but the book should be accessible to readers interested in population the ory. (Readers looking for background or prerequisites will find much of it in Hal Caswell's Matrix population models: construction, analysis, and in terpretation (Sinauer 1989) ). This book is in essence a progress report and is deliberately brief; I hope that it is not mystifying. I have not attempted to be complete about either the history or the subject, although most sig nificant results and methods are presented.