FEM1D_SAMPLE is a MATLAB program which can evaluate a finite element function of one argument.
The current version of the program can only handle finite element meshes which are made of piecewise constant or piecewise linear basis functions.
fem1d_sample fem_prefix sample_prefixwhere fem_prefix is the common prefix for the FEM files:
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
FEM1D_SAMPLE is available in a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version.
DISCRETE_PDF_SAMPLE, a MATLAB program which demonstrates how to construct a Probability Density Function (PDF) from a table of sample data, and then to use that PDF to create new samples.
FEM1D, a data directory which contains examples of 1D FEM files, three text files that describe a 1D finite element model;
FEM1D, a MATLAB program which applies the finite element method to a 1D linear two point boundary value problem.
FEM1D_ADAPTIVE, a MATLAB program which applies the finite element method to a 1D linear two point boundary value problem using adaptive refinement to improve the solution.
FEM1D_DISPLAY, a MATLAB program which reads three files defining a 1D arbitrary degree finite element function, and displays a plot.
FEM1D_NONLINEAR, a MATLAB program which applies the finite element method to a 1D nonlinear two point boundary value problem.
FEM1D_PMETHOD, a MATLAB program which applies the p-method version of the finite element method to a 1D linear two point boundary value problem.
FEM2D_SAMPLE, a MATLAB library which evaluates a finite element function defined on an order 3 or order 6 triangulation.
FEM3D_SAMPLE, a MATLAB program which evaluates a finite element function defined on 3D tetrahedral mesh.
P1 is FEM data for the vector function f(x)=[ 1, x, x^2], on a grid of 11 evenly spaced nodes from -5 to 5, using piecewise constant basis functions.
P2 is FEM data for the vector function f(x)=[ 1, x, x^2], on a grid of 11 evenly spaced nodes from -5 to 5, using piecewise linear basis functions.
You can go up one level to the MATLAB source codes.