  Waveguide Meshes are efficient and versatile models of wave propagation along
a multidimensional ideal medium. The choice of the mesh geometry affects both
the computational cost and the accuracy of simulations. In this paper, we focus
on 2D geometries and use multidimensional sampling theory to compare the
square, triangular, and hexagonal meshes in terms of sampling efficiency and
dispersion error under conditions of critical sampling. The analysis shows that
the triangular geometry exhibits the most desirable tradeoff between accuracy
and computational cost.
