이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
This code demonstrates vectorization concepts from the the paper
Immanuel Anjam, Jan Valdman: Fast MATLAB assembly of FEM matrices in 2D and 3D: Edge elements. Applied Mathematics and Computation 267, 252–263 (2015)
We extended techniques from the paper
Talal Rahman and Jan Valdman: Fast MATLAB assembly of FEM matrices in 2D and 3D: nodal elements, Applied Mathematics and Computation 219, 7151–7158 (2013)
to a fast assembly of FEM matrices using edge elements - Raviart-Thomas elements for Hdiv problems and Nedelec elements for Hcurl problems. In addition, vectorized higher order quadratures were added.
A link to the paper can be found at the author web page located at http://sites.google.com/site/janvaldman/publications
Please cite the paper if you find the code useful.
To compare the assembly times, call
"start_2D" or "start_3D" in the "example_comparison" directory.
You can also call
"start_2D" or "start_3D" in "example_majorant" and "example_eddycurrect" directories
to obtain solution of the functional majorant minimization in Hdiv space and a solution of a eddy current problem in Hcurl space.
인용 양식
Jan Valdman (2026). Fast FEM assembly: edge elements (https://kr.mathworks.com/matlabcentral/fileexchange/46635-fast-fem-assembly-edge-elements), MATLAB Central File Exchange. 검색 날짜: .
도움
도움 받은 파일: Fast FEM assembly: nodal elements, inttet, calc_meshdata
도움 준 파일: Continuum undergoing combined elasto-plasto-damage transformation., Fast FEM evaluation of nonlinear energies: hp elements, Efficient vectorization techniques for FEM computations, p-Laplace equation solver using 1D, 2D FEM, Fast-Implementation-Mixed-FEM, Fast FEM evaluation of nonlinear energies: nodal elements, Hyper elasticity with a non-penetration condition, Implementation of C1 FEM, Simulation of von Kármán viscoelastic plates, Hierarchical hp FEM on rectangles in 2D
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.2.0.0 | Title a summary updated. |
||
| 1.1.0.0 | New code version, description updated with a link to arxiv version of the explaining paper.
|
|
|
| 1.0.0.0 |
