Vectorized 3D Mesh Refinement and Implementation of Primal Hybrid FEM in MATLAB

Abstract This article presents a MATLAB software package for solving a three-dimensional (3D) second-order elliptic problem with mixed boundary conditions using the primal hybrid finite element method (FEM). First, we introduce a novel fast 3D uniform finite element mesh refinement technique implemented in MATLAB and establish the Nodes-to-Edge and Faces-to-Tetrahedron connectivity through an efficient and systematic approach. We then describe an efficient MATLAB assembly procedure for the 3D lowest-order primal hybrid finite element matrices. Furthermore, we develop a vectorized Schur complement solver, where the computational improvement over MATLAB’s default direct solver ( mldivide ) arises from reducing the original block system to a substantially smaller Schur complement system. The run-time performance of the software is demonstrated through numerical experiments.

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Publication Details

Journal
Computational Methods in Applied Mathematics
Published
2026-03-12
DOI
https://doi.org/10.1515/cmam-2025-0171
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Vectorized 3D Mesh Refinement and Implementation of Primal Hybrid FEM in MATLAB

Sharat Gaddam, Jan Valdman, Sanjib Kumar Acharya, Harish Nagula Mallesham
Computational Methods in Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Vectorized 3D Mesh Refinement and Implementation of Primal Hybrid FEM in MATLAB

Sharat Gaddam, Jan Valdman, Sanjib Kumar Acharya, Harish Nagula Mallesham
article en

Abstract

Abstract This article presents a MATLAB software package for solving a three-dimensional (3D) second-order elliptic problem with mixed boundary conditions using the primal hybrid finite element method (FEM). First, we introduce a novel fast 3D uniform finite element mesh refinement technique implemented in MATLAB and establish the Nodes-to-Edge and Faces-to-Tetrahedron connectivity through an efficient and systematic approach. We then describe an efficient MATLAB assembly procedure for the 3D lowest-order primal hybrid finite element matrices. Furthermore, we develop a vectorized Schur complement solver, where the computational improvement over MATLAB’s default direct solver ( mldivide ) arises from reducing the original block system to a substantially smaller Schur complement system. The run-time performance of the software is demonstrated through numerical experiments.

Computational Methods in Applied Mathematics
Sewanee: The University of the South (US), High Energy Materials Research Laboratory (IN), Indian Institute of Technology Bhubaneswar (IN)
Openalex Percentile: Top 21%
Advanced Numerical Methods in Computational Mathematics
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Vectorized 3D Mesh Refinement and Implementation of Primal Hybrid FEM in MATLAB — Sharat Gaddam, Jan Valdman, et al. · Computational Methods in Applied Mathematics (2026) | TGRS Research Map | TGRS