Next: Lag formulation
Up: DEVELOPMENT
Previous: Taylor series expansion
Since this translational operator is now in terms of parameters v and
which are constant across layer boundaries, we can form the
n-layer transformation by forming the product of the n individual
layer transformations. In the case of the first three terms of our
truncated power series approximation of Equation 8,
this leads to


|  |
(9) |
Next: Lag formulation
Up: DEVELOPMENT
Previous: Taylor series expansion
Stanford Exploration Project
11/17/1997