Introduction to Modeling for Biosciences

Author: David J. Barnes
Publisher: Springer Science & Business Media
ISBN: 9781849963268
Format: PDF, ePub, Mobi
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Mathematical modeling can be a useful tool for researchers in the biological scientists. Yet in biological modeling there is no one modeling technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question, a problem which requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. "Introduction to Modeling for Biosciences" addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice, enabling the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; intersperses the text with exercises throughout the book; includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment; discusses agent-based models, stochastic modeling techniques, differential equations and Gillespie’s stochastic simulation algorithm; contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/. This unique and practical guide leads the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the high-quality, tried-and-tested modeling tools described in the book. Dr. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dr. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an internationally recognized expert in agent-based modeling, and has also in-depth research experience in stochastic and differential equation based modeling.

Guide to Simulation and Modeling for Biosciences

Author: David J. Barnes
Publisher: Springer
ISBN: 1447167627
Format: PDF, ePub
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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.

Introduction to Modeling in Wildlife and Resource Conservation

Author: Norman Owen-Smith
Publisher: John Wiley & Sons
ISBN: 1444308904
Format: PDF, Kindle
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This book provides students with the skills to develop their own models for application in conservation biology and wildlife management. Assuming no special mathematical expertise, the computational models used are kept simple and show how to develop models in both spreadsheet and programming language format. Develops thought-provoking applications which emphasize the value of modeling as a learning tool Examines basic descriptive equations, matrix representations, consumer-resources interactions, applications in simulation, scenarios, harvesting, population viability, metapopulation dynamics, disease outbreaks, vegetation stage and state dynamics, habitat suitability assessment, and model selection statistics Includes a wide range of examples relating to birds, fish, plants and large African mammals

Tutorials in Mathematical Biosciences II

Author: James Sneyd
Publisher: Springer Science & Business Media
ISBN: 9783540254393
Format: PDF
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This book presents a series of models in the general area of cell physiology and signal transduction, with particular attention being paid to intracellular calcium dynamics, and the role played by calcium in a variety of cell types. Calcium plays a crucial role in cell physiology, and the study of its dynamics lends insight into many different cellular processes. In particular, calcium plays a central role in muscular contraction, olfactory transduction and synaptic communication, three of the topics to be addressed in detail in this book. In addition to the models, much of the underlying physiology is presented, so that readers may learn both the mathematics and the physiology, and see how the models are applied to specific biological questions. It is intended primarily as a graduate text or a research reference. It will serve as a concise and up-to-date introduction to all those who wish to learn about the state of calcium dynamics modeling, and how such models are applied to physiological questions.

Tutorials in Mathematical Biosciences IV

Author: Avner Friedman
Publisher: Springer Science & Business Media
ISBN: 3540743286
Format: PDF
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This book offers an introduction to fast growing research areas in evolution of species, population genetics, ecological models, and population dynamics. It reviews the concept and methodologies of phylogenetic trees, introduces ecological models, examines a broad range of ongoing research in population dynamics, and deals with gene frequencies under the action of migration and selection. The book features computational schemes, illustrations, and mathematical theorems.

Modeling and control of systems in engineering quantum mechanics economics and biosciences

Author: Austin Blaquière
Publisher: Not Avail
ISBN:
Format: PDF, ePub
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Part I of this book accounts for new developments concerning robustness, systems with two time scales and related treatments utilizing singular perturbation analysis. Part II is mainly concerned with systems in which uncertainty comes out through quantum mechanical rules; that is, with quantum filtering and control and nondemolition measurements. These are essential steps on the way from quantum physics to quantum technology. Part III reports recent results in mathematical economics, in the framework of dynamic optimization. Part IV is concerned with applications of Bellman's approach to biological systems and ecosystems. Part V is devoted to computational bearings.

Dynamik schwingungsf higer Systeme

Author: Stefan Vöth
Publisher: Springer-Verlag
ISBN: 3834890308
Format: PDF, ePub
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Dieses Lehr- und Übungsbuch behandelt die theoretischen Grundlagen, die eine Analyse des dynamischen Verhaltens mechanischer Systeme ermöglichen. Das Lösen von vielen praxisrelevanten Problemstellungen wird mit Hilfe der Software Matlab/Simulink® realisiert, deren Ergebnisse interpretiert werden. Ein Fokus des Buches liegt auf einer guten didaktischen Aufbereitung, die dem Leser einen leichten Einstieg in die Thematik der diskreten Schwinger ermöglicht.

Ecological Modeling for Resource Management

Author: Virginia H. Dale
Publisher: Springer Science & Business Media
ISBN: 0387215638
Format: PDF, Kindle
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With the use of ecological models, managers and decision makers can make sure that the ecological systems affected by their decisions are accurately represented. Unfortunately, the most relevant ecological science and modeling techniques are often not used because managers are not familiar with them or find them inappropriate for their circumstances. The authors of this volume hope to close the gap between the state of the art in ecological modeling and the state of the practice in the use of models as decision-making tools. It will serve as a readable introduction to modeling for people involved in resource management and will also review specific applications of interest to more experienced modelers. The first chapters detail several successful uses of ecological models in resource management. There are then five pairs of chapters addressing important issues in ecological modeling, including barriers to the use of modeling in decision making, evolving approaches in the field, effective use of data, the toolkit approach to management, and the various scientific and technological investments required for productive modeling.; Ecologists and other scientists will learn how best to focus their research for practical, real-world applications, and resource managers and other practitioners will learn the most appropriate methods of understanding dynamic processes and making projections about the implications of their decisions.