Conventional approximations to space derivatives by finite differences
use orthogonal grids. To compute second-order space derivatives in a
given direction, two points are used. Thus, 2N points are required in
a space of dimension N; however, a centered finite-difference approxim
ation to a second-order derivative may be obtained using only three po
ints in 2-D (the vertices of a triangle), four points in 3-D (the vert
ices of a tetrahedron), and in general, N + 1 points in a space of dim
ension N. A grid using N + 1 points to compute derivatives is called m
inimal. The use of minimal grids does not introduce any complication i
n programming and suppresses some artifacts of the nonminimal grids. F
or instance, the well-known decoupling between different subgrids for
isotropic elastic media does not happen when using minimal grids becau
se all the components of a given tensor (e.g., displacement or stress)
are known at the same points. Some numerical tests in 2-D show that t
he propagation of waves is as accurate as when performed with conventi
onal grids. Although this method may have less intrinsic anisotropies
than the conventional method, no attempt has yet been made to obtain a
quantitative estimation.