@article{add5a844c4c5429a8743e93e56f35cc5,
title = "The Shortley–Weller scheme for variable coefficient two-point boundary value problems and its application to tumor growth problem with heterogeneous microenvironment",
abstract = "The first half of this work develops and analyzes the Shortley–Weller scheme (or Ghost-Fluid method with quadratic extrapolation) for a two-point boundary value problem with variable coefficients, where the boundary points are not on the uniform mesh. We prove that the local truncation error is first order convergent near the boundary, but the solution is third order accurate near the boundary and second order accurate away from the boundary. The second half of this work applies this numerical scheme to investigate the tumor growth problems in heterogeneous microenvironment. We discover that the classic Darcy's law tumor model can capture the chemotaxis property using variable nutrient diffusion rate and the haptotaxis mechanism through the variable extracellular matrix (ECM) permeability. Specifically, the tumor tends to move to the regions with higher diffusion rate or lower ECM permeability.",
keywords = "Chemotaxis, Haptotaxis, Heterogeneous microenvironment, Shortley-Weller scheme, Tumor growth, Variable coefficient",
author = "Mohyeedden Sweidan and Xiaojun Chen and Xiaoming Zheng",
note = "Funding Information: Sweidan thanks the Research Assistantship provided by Mathematics Department of Central Michigan University. Chen is partially supported by NSFC, China No. 11671281. This work was supported in part by computational resources and services provided by the Institute for Cyber-Enabled Research at Michigan State University through a collaboration program of Central Michigan University, USA. Funding Information: Sweidan thanks the Research Assistantship provided by Mathematics Department of Central Michigan University. Chen is partially supported by NSFC, China No. 11671281 . This work was supported in part by computational resources and services provided by the Institute for Cyber-Enabled Research at Michigan State University through a collaboration program of Central Michigan University, USA . Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",
year = "2020",
month = oct,
day = "1",
doi = "10.1016/j.cam.2020.112874",
language = "English",
volume = "376",
journal = "Journal of Computational and Applied Mathematics",
issn = "0377-0427",
publisher = "Journal of Computational and Applied Mathematics",
}