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An Algorithmic Approach to Modelling the Co-Evolution of Parasites and Their Hosts

机译:一种建模寄生虫及其主机共同演化的算法方法

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This paper is a reformulation of the paper, Mode 1958 Evolution 12:158 - 165, which was written in terms of a deterministic paradigm, using di erential equations In this paper, however, the working paradigm will be stochastic, and from the mathematical point of view, it will be a stochastic process that may be viewed as a branching process within a branching process. In particular, it will be assumed that the population of host plants will evolve as a multitype branching process, and the pathogen, which grows on the leaves of the host in every generation of the host, will also be assumed to evolve as a multitype branching processes during each generation of the host. The contents of this paper, were motivated by problems in Agriculture in which Plant Pathologists and Plant Breeders work together to control the damage inflicted by a pathogen on a growing crop of a cultivar such as flax, wheat. and many other cultivars. The focus of attention in this paper is the development of algorithms that will guide the development of software to run Monte Carol simulation experiments taking into account mutations in the host and pathogen. The writing of software to implement the algorithms developed in this paper would require a major e ort, and is, therefore, beyond the scope of this paper.
机译:本文是对纸张的重新制定,模式1958年的演化12:158-165,其在本文中使用DI潜在方程式的确定性范式编写,然而,工作范式将是随机的,并且从数学点到数学点视图,它将是一个随机过程,其可以在分支过程中被视为分支过程。特别地,将假设宿主植物群将作为多重性分支过程,并且还将假定在每一种主体的宿主的叶子上生长的病原体,也将被驱逐为多重分支每代主机期间的进程。本文的内容受到农业问题的动机,其中植物病理学家和植物育种者共同努力控制病原体造成的损伤,种植的种植种植,如亚麻籽,小麦。还有许多其他品种。本文的重点是开发算法,将指导软件开发,以考虑宿主和病原体的考虑突变的蒙特卡罗仿真实验。在本文中开发的软件的写作将需要一个主要的E ORT,因此超出了本文的范围。

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