Implicit and Semi-implicit Numerical Schemes for the Gradient Flow of the Formation of Biological Transport Networks

Di Fang, Shi Jin, Peter Markowich, Benoît Perthame

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Implicit and semi-implicit time discretizations are developed for the Cai–Hu model describing the formation of biological transport networks. The model couples a nonlinear elliptic equation for the pressure with a nonlinear reaction-diffusion equation for the network conductance vector. Numerical challenges include the non-linearity and the stiffness, thus an explicit discretization puts severe constraints on the time step. We propose an implicit and a semi-implicit discretizations, which decays the energy unconditionally or under a condition independent of the mesh size respectively, as will be proven in 1D and verified numerically in 2D.

Original languageEnglish (US)
Pages (from-to)229-249
Number of pages21
JournalSMAI Journal of Computational Mathematics
Volume5
DOIs
StatePublished - 2019

Keywords

  • biological transport networks
  • gradient flow
  • numerical schemes

ASJC Scopus subject areas

  • Statistics and Probability
  • Numerical Analysis
  • Modeling and Simulation
  • Computational Mathematics

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