# Fdlap.m

Returns a finite-difference representation of the Laplacian for a 3D array with a user-specified finite difference stencil size. The re- sulting operator is a sparse matrix designed to act on the vectorization of the 3D array. The dimensions of the 3D array are assumed to be ordered as [X Y Z]. Syntax:

                   L=fdlap(npoints,extents,nstenc)


The following parameters are needed:

    npoints -  a three-element vector specifying the number of
discretization points in each dimension of the
3D cube of data that the operator will be acting
on, ordered as [X Y Z].

    extents -  a three-element vector specifying axis extents,
ordered as [X Y Z].

    nstenc  -  number of finite-difference stencil points for
the finite-difference approximations.


The resulting operator is a sparse matrix designed to act on the vectorization of rho. The dimensions of rho are assumed to be ordered as [X Y Z].

Note: Dirichlet boundary conditions - the resulting Laplacian should only be used for the inverse Laplacian operation.