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We present efficient MATLAB implementations of the lowest-order primal hybrid finite element method (FEM) for linear second-order elliptic and parabolic problems with mixed boundary conditions in two spatial dimensions. We employ the…

数值分析 · 数学 2024-01-30 Harish Nagula Mallesham , Kamana Porwal , Jan Valdman , Sanjib Kumar Acharya

The Finite Element Method (FEM) is a powerful computational tool for solving partial differential equations (PDEs). Although commercial and open-source FEM software packages are widely available, an independent implementation of FEM…

数值分析 · 数学 2025-02-06 Victor Dominguez , Alejandro Duque

We propose an effective and flexible way to assemble finite element stiffness and mass matrices in MATLAB. We apply this for problems discretized by edge finite elements. Typical edge finite elements are Raviart-Thomas elements used in…

数学软件 · 计算机科学 2015-05-12 Immanuel Anjam , Jan Valdman

In this work, we propose the application of the eXtended Finite Element Method (XFEM) in the context of the coupling between three-dimensional and one-dimensional elliptic problems. In particular, we consider the case in which the 3D-1D…

数值分析 · 数学 2024-02-20 Denise Grappein , Stefano Scialó , Fabio Vicini

In the present paper we introduce a Virtual Element Method (VEM) for the approximate solution of general linear second order elliptic problems in mixed form, allowing for variable coefficients. We derive a theoretical convergence analysis…

数值分析 · 数学 2015-06-25 L. Beirao da Veiga , F. Brezzi , L. D. Marini , A. Russo

The Finite Element Method (FEM) is widely used to solve discrete Partial Differential Equations (PDEs) in engineering and graphics applications. The popularity of FEM led to the development of a large family of variants, most of which…

数值分析 · 计算机科学 2022-03-10 Teseo Schneider , Yixin Hu , Xifeng Gao , Jeremie Dumas , Denis Zorin , Daniele Panozzo

We describe different optimization techniques to perform the assembly of finite element matrices in Matlab and Octave, from the standard approach to recent vectorized ones, without any low level language used. We finally obtain a simple and…

数值分析 · 计算机科学 2013-05-15 François Cuvelier , Caroline Japhet , Gilles Scarella

In the present work we introduce a novel refinement algorithm for two-dimensional elliptic partial differential equations discretized with Virtual Element Method (VEM). The algorithm improves the numerical solution accuracy and the mesh…

数值分析 · 数学 2024-03-18 Stefano Berrone , Fabio Vicini

Efficient Matlab codes in 2D and 3D have been proposed recently to assemble finite element matrices. In this paper we present simple, compact and efficient vectorized algorithms, which are variants of these codes, in arbitrary dimension,…

数学软件 · 计算机科学 2015-06-22 François Cuvelier , Caroline Japhet , Gilles Scarella

This work focuses on a class of elliptic boundary value problems with diffusive, advective and reactive terms, motivated by the study of three-dimensional heterogeneous physical systems composed of two or more media separated by a selective…

数值分析 · 数学 2018-04-20 Riccardo Sacco , Aurelio Giancarlo Mauri , Giovanna Guidoboni

We present a simple and efficient MATLAB implementation of the local refinement for polygonal meshes. The purpose of this implementation is primarily educational, especially on the teaching of adaptive virtual element methods.

数值分析 · 数学 2021-01-12 Yue Yu

We design and analyze a hybridized cut finite element method for elliptic interface problems. In this method very general meshes can be coupled over internal unfitted interfaces, through a skeletal variable, using a Nitsche type approach.…

数值分析 · 数学 2018-10-30 Erik Burman , Daniel Elfverson , Peter Hansbo , Mats G. Larson , Karl Larsson

The aim of this paper is twofold. On the one hand, we test numerically the performance of mixed virtual elements in three dimensions for the first time in the literature to solve the mixed formulation of three-dimensional elliptic equations…

数值分析 · 数学 2024-12-20 F. Dassi , S. Scacchi

We present an easily accessible, object oriented code (written exclusively in Matlab) for adaptive finite element simulations in 2D. It features various refinement routines for triangular meshes as well as fully vectorized FEM ansatz spaces…

数值分析 · 数学 2024-07-30 Michael Innerberger , Dirk Praetorius

A virtual element method (VEM) with the first order optimal convergence order is developed for solving two-dimensional Maxwell interface problems on a special class of polygonal meshes that are cut by the interface from a background…

数值分析 · 数学 2022-02-17 Shuhao Cao , Long Chen , Ruchi Guo

A hybrid computational approach that integrates the finite element method (FEM) with least squares support vector regression (LSSVR) is introduced to solve partial differential equations. The method combines FEM's ability to provide the…

数值分析 · 数学 2026-01-01 Maryam Babaei , Peter Rucz , Manfred Kaltenbacher , Stefan Schoder

We present 2-D, 3-D, and spherical mesh generators for the Finite Element Method (FEM) using triangular and tetrahedral elements. The mesh nodes are treated as if they were linked by virtual springs that obey Hooke's law. Given the desired…

计算几何 · 计算机科学 2017-11-20 J. M. Taramón , J. P. Morgan , C. Shi , J. Hasenclever

Nonlinear energy functionals appearing in the calculus of variations can be discretized by the finite element (FE) method and formulated as a sum of energy contributions from local elements. A fast evaluation of energy functionals…

数学软件 · 计算机科学 2022-05-11 Alexej Moskovka , Jan Valdman

In electromagnetic analysis, the finite element and boundary element methods jointly known as 'FEM-BEM coupling' is applied for numerically solving levitation problem based on eddy current. The main focus behind this coupled analysis method…

数值分析 · 数学 2021-08-24 Sayan Sarkar , Amit Jena , Mashuq un Nabi

In this paper, we propose a hybrid method that combines finite element method (FEM) and physics-informed neural network (PINN) for solving linear elliptic problems. This method contains three steps: (1) train a PINN and obtain an…

数值分析 · 数学 2025-03-20 Xiao Chen , Yixin Luo , Jingrun Chen
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