To solve the heat conduction equation PDE in MATLAB using implicit Euler for time and central differencing for space:
Define the problem parameters, such as the boundary conditions, initial conditions, and material properties.
Discretize the problem domain using a grid of evenly spaced points in space. In central differencing, we may use a second-order approximation for the second derivative of the solution with respect to space.
Formulate the system of equations that arise from the discretization process, which will be in the form of a tridiagonal matrix.
Solve the system of equations using MATLAB's built-in tridiag
function.
Update the solution at the next time step using the computed values.
Here's a sample code snippet:
main.m935 chars44 lines
Note that the tridiag
function is not a built-in MATLAB function, but you can easily create your own using the Thomas algorithm or use a package like the Numerical Recipes in C.
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