HEATED_PLATE is a C++ program which solves the steady state heat equation in a 2D rectangular region, and is intended as a starting point for implementing an OpenMP parallel version.
The final estimate of the solution is written to a file in a format suitable for display by GRID_TO_BMP.
The sequential version of this program needs approximately 18/epsilon iterations to complete.
The physical region, and the boundary conditions, are suggested by this diagram:
W = 0 +------------------+ | | W = 100 | | W = 100 | | +------------------+ W = 100
The region is covered with a grid of M by N nodes, and an N by N array W is used to record the temperature. The correspondence between array indices and locations in the region is suggested by giving the indices of the four corners:
I = 0 [0][0]-------------[0][N-1] | | J = 0 | | J = N-1 | | [M-1][0]-----------[M-1][N-1] I = M-1
The steady state solution to the discrete heat equation satisfies the following condition at an interior grid point:
W[Central] = (1/4) * ( W[North] + W[South] + W[East] + W[West] )where "Central" is the index of the grid point, "North" is the index of its immediate neighbor to the "north", and so on.
Given an approximate solution of the steady state heat equation, a "better" solution is given by replacing each interior point by the average of its 4 neighbors - in other words, by using the condition as an ASSIGNMENT statement:
W[Central] <= (1/4) * ( W[North] + W[South] + W[East] + W[West] )
If this process is repeated often enough, the difference between successive estimates of the solution will go to zero.
This program carries out such an iteration, using a tolerance specified by the user, and writes the final estimate of the solution to a file that can be used for graphic processing.
heated_plate epsilon output_filewhere
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
HEATED_PLATE is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version.
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The program has a built in grid of M = 500, N = 500. It is only necessary to alter these definitions and recompile in order to run the problem on a different grid. Here are the output files and solution files from two runs.
You can go up one level to the C++ source codes.