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Titlebook: Introduction to Modeling for Biosciences; David J. Barnes,Dominique Chu Textbook 20101st edition Springer-Verlag London Limited 2010 Agent

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書目名稱Introduction to Modeling for Biosciences
編輯David J. Barnes,Dominique Chu
視頻videohttp://file.papertrans.cn/474/473919/473919.mp4
概述Presents a broad overview of the most important techniques used to model biological systems.Provides a detailed introduction to agent-based models, stochastic modelling techniques and differential equ
圖書封面Titlebook: Introduction to Modeling for Biosciences;  David J. Barnes,Dominique Chu Textbook 20101st edition Springer-Verlag London Limited 2010 Agent
描述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
出版日期Textbook 20101st edition
關(guān)鍵詞Agent-Based Modeling; Agent-based Modelling; Bio-modelling; Computational Biology; Differential Equation
版次1
doihttps://doi.org/10.1007/978-1-84996-326-8
isbn_softcover978-1-4471-5907-0
isbn_ebook978-1-84996-326-8
copyrightSpringer-Verlag London Limited 2010
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Mathematical Tools,f Maxima is illustrated by a number of examples. Special emphasis is placed on practical advice on how the software can be used, and the reader is made aware of difficulties and pitfalls of Maxima. The chapter also demonstrates how to use Maxima in practice by walking the reader through a number of
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Other Stochastic Methods and Prism,l modeling and introduces some of the basic concepts of stochastic systems, including Markov chains and partition functions. The main objective of this theoretical part is to provide the reader with sufficient theoretical background to be able to understand original research papers in the field. Str
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Simulating Biochemical Systems,c modeling of chemical reactions involving relatively small numbers of molecules. We also look at Gibson and Bruck’s improvements to the SSA, in order to support larger numbers of reactions, as well as the more recent variation by Slepoy, Thompson and Plimpton. All of these techniques are illustrate
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David J. Barnes,Dominique Chuploits the synergies between complex systems thinking, sophisticated theoretical critique, synthetic modeling technologies and experimental work. Rather than adopting a grandiose programmatic approach, Marieke Rohde presents us with a pragmatic conjunction of elements, each of them strongly feeding
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