Modelisation Analyse Mathematique Et Simulation Numerique De Problemes Issus De La Biologie

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Modélisation, analyse mathématique et simulation numérique de problèmes issus de la biologie

Author : Anne Devys
Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.:/5 (758 download)

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Book Synopsis Modélisation, analyse mathématique et simulation numérique de problèmes issus de la biologie by : Anne Devys

Download or read book Modélisation, analyse mathématique et simulation numérique de problèmes issus de la biologie written by Anne Devys and published by . This book was released on 2010 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse est consacrée à l’étude de quatre problèmes issus de la biologie. Le premier concerne la modélisation d’une population de métastases. Le modèle abouti a une équation de McKendrick-Von Foerster : une équation de conservation munie d’un terme au bord non–local. Nous montrons l’existence d’une unique solution et étudions son comportement asymptotique à l’aide de la notion d’entropie relative généralisée. L’étude numérique utilise le schéma WENO. Le deuxième concerne la modélisation de la respiration. Nous étudions la simulation des flux d’air dans l’appareil respiratoire à l’aide d’un modèle multi–échelle. Le système obtenu possède des conditions aux bords dissipatives non–usuelles. La méthode numérique employée est une méthode de décomposition qui permet de réduire le problème à la résolution de problèmes de Stokes avec conditions aux bords de type Dirichlet–Neumann classiques. Puis nous proposons un modèle pour les échanges gazeux montrant l’hétérogénéité de l’absorption de l’oxygène le long de l’arbre bronchique. La troisième partie concerne la cascade MAPK dans des ovocytes de Xénopes. La modélisation amène à une équation de type KPP. Après une étude mathématique montrant l’existence d’un front d’onde, nous réalisons une étude numérique fine du système. Enfin, nous étudions le système de Patlak–Keller–Segel 1D après explosion. Après une étude mathématique permettant de décrire le système après explosion à l’aide d’une mesure de défaut, nous donnons un schéma numérique adoptant le point de vue du transport optimal et permettant de simuler le système après explosion.

Analyse numérique et optimisation

Author : Grégoire Allaire
Publisher : Editions Ecole Polytechnique
ISBN 13 : 9782730212557
Total Pages : 482 pages
Book Rating : 4.2/5 (125 download)

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Book Synopsis Analyse numérique et optimisation by : Grégoire Allaire

Download or read book Analyse numérique et optimisation written by Grégoire Allaire and published by Editions Ecole Polytechnique. This book was released on 2005 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce livre est issu d'un cours enseigné à l'École Polytechnique dont l'objectif, au delà de la présentation de l'analyse numérique et de l'optimisation, est d'introduire les étudiants au monde de la modélisation mathématique et de la simulation numérique. La modélisation et la simulation ont pris une importance considérable ces dernières décennies dans tous les domaines de la science et des applications industrielles (ou sciences de l'ingénieur). En effet, depuis leur apparition au lendemain de la seconde guerre mondiale les ordinateurs ont profondément transformé les mathématiques en en faisant une science expérimentale : on fait des ± expériences numériques » (des calculs sur ordinateurs) comme d'autres font des expériences physiques. L'analyse numérique est justement la discipline qui conçoit et analyse les méthodes ou algorithmes de calcul. La simulation numérique permet aux mathématiciens de s'attaquer à des problèmes beaucoup plus complexes et concrets qu'auparavant, issus de motivations immédiates industrielles ou scientifiques, auxquels on peut apporter des réponses à la fois qualitatives mais aussi quantitatives : c'est la modélisation mathématique. Remarquons qu'à coté des champs d'applications traditionnels que sont la chimie, le mécanique et la physique se sont ouverts de nouvelles perspectives en biologie, environnement, finance, médecine et sciences sociales. Par ailleurs, l'ingénieur ou le scientifique qui a réussi à simuler numériquement son problème ne s'arrête pas en si bon chemin: il veut ensuite pouvoir intervenir sur certains paramètres pour améliorer ou optimiser le fonctionnement, le rendement, ou la réponse d'un système en maximisant (ou minimisant) des fonctions associées. C'est précisément le but de l'optimisation qui fournit des outils théoriques ou numériques pour ce faire. L'analyse numérique et l'optimisation sont donc deux outils essentiels et complémentaires de la modélisation mathématique. Des travaux pratiques de simulation numérique à l'aide des logiciels Scilab et FreeFem++ accompagnent cet ouvrage et sont disponibles sur le site web http://www.cmap.polytechnique.fr/~allaire/

Biological Modeling and Simulation

Author : Russell Schwartz
Publisher : MIT Press
ISBN 13 : 0262195844
Total Pages : 403 pages
Book Rating : 4.2/5 (621 download)

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Book Synopsis Biological Modeling and Simulation by : Russell Schwartz

Download or read book Biological Modeling and Simulation written by Russell Schwartz and published by MIT Press. This book was released on 2008-07-25 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. It collects in one place a selection of broadly useful models, algorithms, and theoretical analysis tools normally found scattered among many other disciplines. It thereby gives the aspiring student a bag of tricks that will serve him or her well in modeling problems drawn from numerous subfields of biology. These techniques are taught from the perspective of what the practitioner needs to know to use them effectively, supplemented with references for further reading on more advanced use of each method covered. The text, which grew out of a class taught at Carnegie Mellon University, covers models for optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.

Contributions à la modélisation mathématique et numérique de problèmes issus de la biologie

Author : Erwan Hingant
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (919 download)

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Book Synopsis Contributions à la modélisation mathématique et numérique de problèmes issus de la biologie by : Erwan Hingant

Download or read book Contributions à la modélisation mathématique et numérique de problèmes issus de la biologie written by Erwan Hingant and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling Biological Systems:

Author : James W. Haefner
Publisher : Springer Science & Business Media
ISBN 13 : 9780387250113
Total Pages : 500 pages
Book Rating : 4.2/5 (51 download)

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Book Synopsis Modeling Biological Systems: by : James W. Haefner

Download or read book Modeling Biological Systems: written by James W. Haefner and published by Springer Science & Business Media. This book was released on 2005-05-06 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: I Principles 1 1 Models of Systems 3 1. 1 Systems. Models. and Modeling . . . . . . . . . . . . . . . . . . . . 3 1. 2 Uses of Scientific Models . . . . . . . . . . . . . . . . . . . . . . . . 4 1. 3 Example: Island Biogeography . . . . . . . . . . . . . . . . . . . . . 6 1. 4 Classifications of Models . . . . . . . . . . . . . . . . . . . . . . . . 10 1. 5 Constraints on Model Structure . . . . . . . . . . . . . . . . . . . . . 12 1. 6 Some Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1. 7 Misuses of Models: The Dark Side . . . . . . . . . . . . . . . . . . . 13 1. 8 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2 The Modeling Process 17 2. 1 Models Are Problems . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2. 2 Two Alternative Approaches . . . . . . . . . . . . . . . . . . . . . . 18 2. 3 An Example: Population Doubling Time . . . . . . . . . . . . . . . . 24 2. 4 Model Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2. 5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3 Qualitative Model Formulation 32 3. 1 How to Eat an Elephant . . . . . . . . . . . . . . . . . . . . . . . . . 32 3. 2 Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3. 3 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 3. 4 Errors in Forrester Diagrams . . . . . . . . . . . . . . . . . . . . . . 44 3. 5 Advantages and Disadvantages of Forrester Diagrams . . . . . . . . . 44 3. 6 Principles of Qualitative Formulation . . . . . . . . . . . . . . . . . . 45 3. 7 Model Simplification . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3. 8 Other Modeling Problems . . . . . . . . . . . . . . . . . . . . . . . . 49 viii Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3. 9 Exercises 53 4 Quantitative Model Formulation: I 4. 1 From Qualitative to Quantitative . . . . . . . . . . . . . . . . . Finite Difference Equations and Differential Equations 4. 2 . . . . . . . . . . . . . . . . 4. 3 Biological Feedback in Quantitative Models . . . . . . . . . . . . . . . . . . . . . . . . . . 4. 4 Example Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4. 5 Exercises 5 Quantitative Model Formulation: I1 81 . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 1 Physical Processes 81 . . . . . . . . . . . . . . . 5. 2 Using the Toolbox of Biological Processes 89 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 3 Useful Functions 96 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 4 Examples 102 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5. 5 Exercises 104 6 Numerical Techniques 107 . . . . . . . . . . . . . . . . . . . . . . . 6. 1 Mistakes Computers Make 107 . . . . . . . . . . . . . . . . . . . . . . . . . . 6. 2 Numerical Integration 110 . . . . . . . . . . . . . . . . 6. 3 Numerical Instability and Stiff Equations 115 . . . . . . . . . . . . . .

Dynamic Systems Biology Modeling and Simulation

Author : Joseph DiStefano III
Publisher : Academic Press
ISBN 13 : 0124104932
Total Pages : 886 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Dynamic Systems Biology Modeling and Simulation by : Joseph DiStefano III

Download or read book Dynamic Systems Biology Modeling and Simulation written by Joseph DiStefano III and published by Academic Press. This book was released on 2015-01-10 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of “math modeling” with life sciences Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course Importantly, the slides are editable, so they can be readily adapted to a lecturer’s personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]

A Guide to Numerical Modelling in Systems Biology

Author : Peter Deuflhard
Publisher : Springer
ISBN 13 : 3319200593
Total Pages : 185 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis A Guide to Numerical Modelling in Systems Biology by : Peter Deuflhard

Download or read book A Guide to Numerical Modelling in Systems Biology written by Peter Deuflhard and published by Springer. This book was released on 2015-07-06 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

Investigating Biological Systems Using Modeling

Author : Meryl E. Wastney
Publisher : Academic Press
ISBN 13 : 0080926452
Total Pages : 401 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Investigating Biological Systems Using Modeling by : Meryl E. Wastney

Download or read book Investigating Biological Systems Using Modeling written by Meryl E. Wastney and published by Academic Press. This book was released on 2012-12-02 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investigating Biological Systems Using Modeling describes how to apply software to analyze and interpret data from biological systems. It is written for students and investigators in lay person's terms, and will be a useful reference book and textbook on mathematical modeling in the design and interpretation of kinetic studies of biological systems. It describes the mathematical techniques of modeling and kinetic theory, and focuses on practical examples of analyzing data. The book also uses examples from the fields of physiology, biochemistry, nutrition, agriculture, pharmacology, and medicine. Contains practical descriptions of how to analyze kinetic data Provides examples of how to develop and use models Describes several software packages including SAAM/CONSAM Includes software with working models

Systems Biology

Author : Jinzhi Lei
Publisher : Springer Nature
ISBN 13 : 3030730336
Total Pages : 308 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Systems Biology by : Jinzhi Lei

Download or read book Systems Biology written by Jinzhi Lei and published by Springer Nature. This book was released on 2021-05-13 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration. The diffusion of morphogens is addressed by introducing various reaction-diffusion equations based on different hypotheses concerning the process of morphogen gradient formation. The robustness of steady-state gradients is also covered through boundary value problems. The introduction gives an overview of the relevant biological concepts (cells, DNA, organism development) and provides the requisite mathematical preliminaries on continuous dynamics and stochastic modeling. A basic understanding of calculus is assumed. The techniques described in this book encompass a wide range of mechanisms, from molecular behavior to population dynamics, and the inclusion of recent developments in the literature together with first-hand results make it an ideal reference for both new students and experienced researchers in the field of systems biology and applied mathematics.

Guide to Simulation and Modeling for Biosciences

Author : David J. Barnes
Publisher : Springer
ISBN 13 : 1447167627
Total Pages : 347 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Guide to Simulation and Modeling for Biosciences by : David J. Barnes

Download or read book Guide to Simulation and Modeling for Biosciences written by David J. Barnes and published by Springer. This book was released on 2015-09-01 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie’s stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.

Modeling and Simulation in Medicine and the Life Sciences

Author : Frank C. Hoppensteadt
Publisher : Springer Science & Business Media
ISBN 13 : 0387215719
Total Pages : 362 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Modeling and Simulation in Medicine and the Life Sciences by : Frank C. Hoppensteadt

Download or read book Modeling and Simulation in Medicine and the Life Sciences written by Frank C. Hoppensteadt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of lectures given by the authors at New York University, the University of Utah, and Michigan State University, the material is written for students who have had only one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels through early graduate courses. Numerous exercises are given as well as solutions to selected exercises, so as to lead readers to discover interesting extensions of that material. Throughout, illustrations depict physiological processes, population biology phenomena, corresponding models, and the results of computer simulations. Topics covered range from population phenomena to demographics, genetics, epidemics and dispersal; in physiological processes, including the circulation, gas exchange in the lungs, control of cell volume, the renal counter-current multiplier mechanism, and muscle mechanics; to mechanisms of neural control. Each chapter is graded in difficulty, so a reading of the first parts of each provides an elementary introduction to the processes and their models.

Introduction to Mathematical Biology

Author : Ching Shan Chou
Publisher : Springer
ISBN 13 : 3319296388
Total Pages : 174 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Introduction to Mathematical Biology by : Ching Shan Chou

Download or read book Introduction to Mathematical Biology written by Ching Shan Chou and published by Springer. This book was released on 2016-04-27 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations. In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience. The second set of case studies were adapted from recent and current research papers to the level of the students. Topics have been selected based on public health interest. This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis. Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological and biomedical research. Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer – 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.

Mathematical Modeling of Biological Systems, Volume II

Author : Andreas Deutsch
Publisher : Springer Science & Business Media
ISBN 13 : 081764556X
Total Pages : 383 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Mathematical Modeling of Biological Systems, Volume II by : Andreas Deutsch

Download or read book Mathematical Modeling of Biological Systems, Volume II written by Andreas Deutsch and published by Springer Science & Business Media. This book was released on 2007-10-12 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.

Mathematical Modeling and Control in Life and Environmental Sciences

Author : Sebastian Aniţa
Publisher : Springer Nature
ISBN 13 : 3031499719
Total Pages : 284 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Mathematical Modeling and Control in Life and Environmental Sciences by : Sebastian Aniţa

Download or read book Mathematical Modeling and Control in Life and Environmental Sciences written by Sebastian Aniţa and published by Springer Nature. This book was released on with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Modeling and Simulations of Complex Biological Systems, 2nd Edition

Author : S. Sitharama Iyengar
Publisher : CRC Press
ISBN 13 : 9780849379628
Total Pages : 212 pages
Book Rating : 4.3/5 (796 download)

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Book Synopsis Computer Modeling and Simulations of Complex Biological Systems, 2nd Edition by : S. Sitharama Iyengar

Download or read book Computer Modeling and Simulations of Complex Biological Systems, 2nd Edition written by S. Sitharama Iyengar and published by CRC Press. This book was released on 1997-11-20 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text explores the use of innovative modeling techniques in effecting a better understanding of complex diseases such as AIDS and cancer. From a way of representing the computational properties of protein-folding problems to computer simulation of bimodal neurons and networks, Computer Modeling and Simulations of Complex Biological Systems examines several modeling methodologies and integrates them across a variety of disciplines. This interdisciplinary approach suggests new ways to solve complex problems pertaining to biological systems. Written in clear and simple terms appropriate for both the novice and the experienced researcher, the book presents a step-by-step approach to the subject and includes numerous examples that explain the concepts presented in the text.

Modeling Life

Author : Alan Garfinkel
Publisher : Springer
ISBN 13 : 3319597310
Total Pages : 456 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Modeling Life by : Alan Garfinkel

Download or read book Modeling Life written by Alan Garfinkel and published by Springer. This book was released on 2017-09-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?

Analyse mathématique et numérique de modèles de coagulation-fragmentation

Author : Léon Matar Tine
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis Analyse mathématique et numérique de modèles de coagulation-fragmentation by : Léon Matar Tine

Download or read book Analyse mathématique et numérique de modèles de coagulation-fragmentation written by Léon Matar Tine and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce mémoire de thèse concerne l’analyse mathématique et numérique du comportement asymptotique de certains modèles de type coagulation-fragmentation intervenant en physique ou en biologie.Dans la première partie, on considère le système d’équations de Lifshitz-Slyozov qui modélise l’immersion d’une population de macro-particules en interaction avec un bain de monomères. Ce modèle développe en temps long un comportement dépendant d’une manière très particulière de l’état initial et ses spécificités techniques en font un véritable challenge pour la simulation numérique.On introduit un nouveau schéma numérique de type volumes finis basé sur une stratégie anti-dissipative ; ce schéma parvient à capturer les profils asymptotiques attendus par la théorie et dépasse en performances les méthodes utilisées jusqu’alors. L’investigation numérique est poursuivie en prenant en compte dans le modèle des phénomènes de coalescence entremacro-particules à travers l’opérateur de Smoluchowski. La question est de déterminer par l’expérimentation numérique comment ces phénomènes influencent le comportement asymptotique. On envisage aussi une extension du modèle classique de Lifshitz-Slyozov qui prend en compte des effets spatiaux via la diffusion des monomères. On établit l’existence et l’unicité des solutions du système couplé hyperbolique-parabolique correspondant. La seconde partie de ce mémoire aborde des modèles d’agrégation fragmentation issus de la biologie. On s’intéresse en effet à des équations décrivant les phénomènes de croissance et de division pour une population de cellules caractérisée par sa densité de répartition en taille. Le comportement asymptotique de cette densité de répartition est accessible à l’expérience et peut être établi théoriquement. L’enjeu biologique consiste, à partir de données mesurées de la densité cellulaire, à estimer le taux de division cellulaire qui, lui, n’est pas expérimentalement mesurable. Ainsi, retrouver ce taux de division cellulaire fait appel à l’étude d’un problème inverse que nous abordons théoriquement et numériquement par des techniques de régularisations par quasi-reversibilité et par filtrage.La troisième partie de ce travail de thèse est consacrée à des systèmes couplés décrivant des interactions fluide-particules, avec des termes de coagulation–fragmentation, de type Becker–Döring. On étudie les propriétés de stabilité du modèle et on présente des résultats d’asymptotiques correspondant à des régimes de forte friction.