poisson_2d


poisson_2d, a MATLAB code which computes an approximate solution to the Poisson equation in the unit square, using finite differences and Jacobi iteration.

The version of Poisson's equation being solved here is

        - ( d/dx d/dx + d/dy d/dy ) U(x,y) = F(x,y)
      
over the rectangle 0 <= X <= 1, 0 <= Y <= 1, with exact solution
        U(x,y) = sin ( pi * x * y )
      
so that
        F(x,y) = pi^2 * ( x^2 + y^2 ) * sin ( pi * x * y )
      
and with Dirichlet boundary conditions along the lines x = 0, x = 1, y = 0 and y = 1. (The boundary conditions will actually be zero in this case, but we write up the problem as though we didn't know that, which makes it easy to change the problem later.)

We compute an approximate solution by discretizing the geometry, assuming that DX = DY, and approximating the Poisson operator by

        ( U(i-1,j) + U(i+1,j) + U(i,j-1) + U(i,j+1) - 4*U(i,j) ) / dx /dy
      
Along with the boundary conditions at the boundary nodes, we have a linear system for U. We can apply the Jacobi iteration to estimate the solution to the linear system.

The code is intended as a starting point for the implementation of a parallel version, using, for instance, MPI.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

poisson_2d is available in a C version and a C++ version and a Fortran77 version and a Fortran90 version and a FENICS version and a FreeFem version and a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

poisson_2d_test

fem2d_poisson_rectangle, a MATLAB code which solves the 2D Poisson equation on a rectangle, using the finite element method, and piecewise quadratic triangular elements.

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md, a MATLAB code which carries out a molecular dynamics simulation, and is intended as a starting point for implementing a parallel version.

poisson_1d, a MATLAB code which solves a discretized version of the Poisson equation -uxx = f(x) on the interval a ≤ x ≤ b, with Dirichlet boundary conditions u(a) = ua, u(b) = ub. The linear system is solved using Gauss-Seidel iteration.

quad, a MATLAB code which approximates an integral using a quadrature rule, and is intended as a starting point for parallelization exercises.

Source Code:


Last revised on 05 August 2022.