code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology
收藏DataCite Commons2025-05-01 更新2025-09-08 收录
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https://rs.figshare.com/articles/dataset/code_implementing_the_finite_element_method_and_finite_difference_method_from_Hybrid_PDE-ODE_Models_for_Efficient_Simulation_of_Infection_Spread_in_Epidemiology/28152119/1
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资源简介:
This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. It is part of the Math+ EF45-4 project, which aims to develop hybrid models for large-scale infection spread simulations.
本数据集包含两类代码:一类是基于Kaskade 7(C++语言)实现的有限元法(finite element method)代码,另一类是用于开发混合偏微分方程-常微分方程(PDE-ODE)模型的有限差分法(finite difference method)Python代码,该类模型旨在高效模拟流行病学中的感染传播过程。本数据集隶属于Math+ EF45-4项目,该项目的目标是开发适用于大规模感染传播模拟的混合模型。
提供机构:
The Royal Society
创建时间:
2025-01-07



