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书目名称Guide to Simulation and Modeling for Biosciences影响因子(影响力)




书目名称Guide to Simulation and Modeling for Biosciences影响因子(影响力)学科排名




书目名称Guide to Simulation and Modeling for Biosciences网络公开度




书目名称Guide to Simulation and Modeling for Biosciences网络公开度学科排名




书目名称Guide to Simulation and Modeling for Biosciences被引频次




书目名称Guide to Simulation and Modeling for Biosciences被引频次学科排名




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书目名称Guide to Simulation and Modeling for Biosciences年度引用学科排名




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书目名称Guide to Simulation and Modeling for Biosciences读者反馈学科排名

TOM

Crater

MAIZE

桶去微染

Barter

Barter

ABMs Using Repast Simphony,mples of agent-based models from an earlier chapter, we look in detail at how to build models using the Groovy programming language, which is based on Java. We illustrate some of the ways in which a toolkit such as Repast considerably simplifies the life of the modeler by providing extensive support

飓风

Differential Equations,integration is assumed; however, one of the main objectives of the chapter is to convey to the biologist reader, in an intuitive way, the basic idea of infinitesimal change and differentiation. The second main aim of this chapter is to provide an introduction to ordinary differential equations. The

乳汁

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

Barrister

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