Numerical Methods for Partial Differential Equation
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 809
Special Issue Editor
Interests: computational neuroscience; high performance computing; deep learning; neural networks; weak Galerkin FEM and VEM; numerical analysis for nonlocal PDEs
Special Issue Information
Dear Colleagues,
Numerical methods for partial differential equations (PDEs) are a set of techniques used to solve PDE models computationally. Many problems in a wide range of sciences require such solutions. This Special Issue aims to collect original and novel contributions in the field of numerical methods for PDEs on polygonal/polyhedral meshes, including the Weak Galerkin method, the Hybrid Discontinuous method, the Virtual Element method, the Hybrid High-Order method, and other related methods. Topics will cover numerical analysis, mesh generation, and applications of these methods.
Dr. Qingguang Guan
Guest Editor
Manuscript Submission Information
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Keywords
- polygonal/polyhedral meshes
- weak Galerkin method
- hybrid discontinuous method
- virtual element method
- hybrid high-order method
- numerical analysis
- partial differential equations (PDEs)
- mesh generation
