一种新的ODE模型的推导方法:利用广义线性链技巧结合相型分布延迟和停留时间假设

IF 0.4 Q4 MATHEMATICS, APPLIED Mathematics in applied sciences and engineering Pub Date : 2020-12-29 DOI:10.5206/mase/10857
P. Hurtado, Cameron Richards
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引用次数: 7

摘要

常微分方程模型在数学、统计学和科学领域有着广泛的应用。尽管这些模型被广泛使用,但在考虑时间延迟方面,这些模型有时被认为是不灵活的。广义线性链技巧(GLCT)为建模者提供了一种方法,与通常的指数分布和Erlang分布相比,它可以包含更灵活的延迟或停留时间分布假设。在本文中,我们演示了如何使用GLCT通过泛化或近似现有模型来生成新的ODE模型,从而产生具有相位型分布式延迟或停留时间的更通用的ODE。
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A procedure for deriving new ODE models: Using the generalized linear chain trick to incorporate phase-type distributed delay and dwell time assumptions
Ordinary differential equations models have a wide variety of applications in the fields of mathematics, statistics, and the sciences. Though they are widely used, these models are sometimes viewed as inflexible with respect to the incorporation of time delays. The Generalized Linear Chain Trick (GLCT) serves as a way for modelers to incorporate much more flexible delay or dwell time distribution assumptions than the usual exponential and Erlang distributions. In this paper we demonstrate how the GLCT can be used to generate new ODE models by generalizing or approximating existing models to yield much more general ODEs with phase-type distributed delays or dwell times.
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CiteScore
1.40
自引率
0.00%
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审稿时长
21 weeks
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