VEMcomp: a Virtual Elements MATLAB package for bulk-surface PDEs in 2D and 3D
We present a Virtual Element MATLAB solver for elliptic and parabolic, linear and semilinear Partial Differential Equations (PDEs) in two and three space dimensions, which is coined VEMcomp. Such PDEs are widely applicable to describing problems in material sciences, engineering, cellular and developmental biology, among many other applications. The library covers linear and nonlinear models posed on different simple and complex geometries, involving time-dependent bulk, surface, and bulk-surface PDEs. The solver employs the Virtual Element Method (VEM) of lowest polynomial order <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>k</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn></mml:mrow> </mml:math> on general polygonal and polyhedral meshes, including the Finite Element Method (FEM) of order <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>k</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn></mml:mrow> </mml:math> as a special case when the considered mesh is simplicial. VEMcomp has three main purposes. First, VEMcomp generates polygonal and polyhedral meshes optimized for fast matrix assembly. Triangular and tetrahedral meshes are encompassed as special cases. For surface PDEs, VEMcomp is compatible with the well-known Matlab package DistMesh for mesh generation. Second, given a mesh for the considered geometry, possibly generated with an external package, VEMcomp computes all the matrices (mass and stiffness) required by the VEM or FEM method. Third, for multiple classes of stationary and time-dependent bulk, surface and bulk-surface PDEs, VEMcomp solves the considered PDE problem with the VEM or FEM in space and IMEX Euler in time, through a user-friendly interface. As an optional post-processing, VEMcomp comes with its own functions for plotting the numerical solutions and evaluating the error when possible. An extensive set of examples illustrates the usage of the library.
Authors
- Ivonne Sgura (ORCID: https://orcid.org/0000-0001-9207-5832)
- Massimo Frittelli (ORCID: https://orcid.org/0000-0002-1774-9320)
- Anotida Madzvamuse (ORCID: https://orcid.org/0000-0002-9511-8903)
Institutions
- University of British Columbia (CA)
- University of Salento (IT)
- University of Zimbabwe (ZW)
- University of Johannesburg (ZA)
- University of Pretoria (ZA)
Publication Details
- Journal
- Numerical Algorithms
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1007/s11075-024-01919-4
- Citations
- 3
- Primary Topic
- Advanced Numerical Methods in Computational Mathematics
- Type
- article
- Field-Weighted Citation Impact
- 1.12
Funders
- Istituto Nazionale di Alta Matematica "Francesco Severi"
- UK Research and Innovation
- European Commission
- Canada Research Chairs
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Regione Puglia
- Ministero dell'Università e della Ricerca
- Gruppo Nazionale per il Calcolo Scientifico
- Natural Sciences and Engineering Research Council of Canada
- Engineering and Physical Sciences Research Council
- British Columbia Knowledge Development Fund