Skip to content
Narrow screen resolution Wide screen resolution Auto adjust screen size Increase font size Decrease font size Default font size blue color orange color green color Sign In

Matematika IPB

Beranda arrow Dosen & Pendukung arrow Daftar Tenaga Pendidik (Dosen)
 
Informasi Publikasi

Judul Artikel : Three matlab implementations of the lowest-order Raviart-Thomas MFEM with a posteriori error control
Penulis : Corinna B., C. Carstensen (2005)
Judul Publikasi : Computational Methods in Applied Mathematics Vol.5 No.4 hal. 333-361
Jenis : Jurnal Internasional
Bahasa : English
Abstrak : Abstract | The numerical approximation of the Laplace equation with inhomo-
geneous mixed boundary conditions in 2D with lowest-order Raviart-Thomas mixed
¯nite elements is realized in three °exible and short MATLAB programs. The ¯rst,
hybrid, implementation (LMmfem) assumes that the discrete function ph(x) equals
a + bx for x with unknowns a 2 R2 and b 2 R on each element and then enforces
ph 2 H(div; ­) through Lagrange multipliers. The second, direct, approach (EBmfem)
utilizes edge-basis functions (ÃE : E 2 E) as an explicit basis of RT0 with the edgewise
constant °ux normal ph¢ºE as a degree of freedom. The third ansatz (CRmfem) utilizes
the P1 nonconforming ¯nite element method due to Crouzeix and Raviart and then
postprocesses the discrete °ux via a technique due to Marini. It is the aim of this pa-
per to derive, document, illustrate, and validate the three MATLAB implementations
EBmfem, LMmfem, and CRmfem for further use and modi¯cation in education and
research. A posteriori error control with a reliable and e±cient averaging technique is
included to monitor the discretization error. Therein, emphasis is on the correct treat-
ment of mixed boundary conditions. Numerical examples illustrate some applications
of the provided software and the quality of the error estimation.
Full Text : journal_2.pdf
 
Link Penulis
No Nama Dosen
1

Random Quotes

Jika anda hilang segala-galanya, jangan lupa, kerana anda masih mempunyai masa depan.

anonim