ex11.py: 2-D Laplacian eigenproblem solved with contour integral — slepc4py 3.25.1 documentation

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# ex11.py: 2-D Laplacian eigenproblem solved with contour integral

This example is similar to `ex2.py`, but employs a contour integral solver. It illustrates how to define a region of the complex plane using an `RG` object.

The full source code for this demo can be downloaded here.

Initialization is similar to previous examples.

    try: range = xrange
    except: pass

    import sys, slepc4py
    slepc4py.init(sys.argv)

    from petsc4py import PETSc
    from slepc4py import SLEPc

    Print = PETSc.Sys.Print

Build the finite-difference 2-D Laplacian matrix.

    def construct_operator(m, n):
        # Create matrix for 2D Laplacian operator
        A = PETSc.Mat().create()
        A.setSizes([m*n, m*n])
        A.setFromOptions()
        # Fill matrix
        hx = 1.0/(m-1) # x grid spacing
        hy = 1.0/(n-1) # y grid spacing
        diagv = 2.0*hy/hx + 2.0*hx/hy
        offdx = -1.0*hy/hx
        offdy = -1.0*hx/hy
        Istart, Iend = A.getOwnershipRange()
        for I in range(Istart, Iend) :
            A[I,I] = diagv
            i = I//n    # map row number to
            j = I - i*n # grid coordinates
            if i> 0  : J = I-n; A[I,J] = offdx
            if i< m-1: J = I+n; A[I,J] = offdx
            if j> 0  : J = I-1; A[I,J] = offdy
            if j< n-1: J = I+1; A[I,J] = offdy
        A.assemble()
        return A

In the main function, first two command-line options are processed to set the grid dimensions. Then the matrix is built and passed to the solver object. In this case, the solver is configured to use the contour integral method. Next, the region of interest is defined, in this case an ellipse centered at the origin, with radius 0.2 and vertical scaling of 0.1. Finally, the solver is run. In this example, we illustrate how to print the solution using the solver method `errorView()`.

    def main():
        opts = PETSc.Options()
        n = opts.getInt('n', 32)
        m = opts.getInt('m', 32)
        Print("2-D Laplacian Eigenproblem solved with contour integral, "
              "N=%d (%dx%d grid)\n" % (m*n, m, n))
        A = construct_operator(m,n)

        E = SLEPc.EPS().create()
        E.setOperators(A)
        E.setProblemType(SLEPc.EPS.ProblemType.HEP)
        E.setType(SLEPc.EPS.Type.CISS)

        R = E.getRG()
        R.setType(SLEPc.RG.Type.ELLIPSE)
        R.setEllipseParameters(0.0,0.2,0.1)
        E.setFromOptions()

        E.solve()

        vw = PETSc.Viewer.STDOUT()
        vw.pushFormat(PETSc.Viewer.Format.ASCII_INFO_DETAIL)
        E.errorView(viewer=vw)
        vw.popFormat()

    if __name__ == '__main__':
        main()