The Monte Carlo fitting algorithm is a two-step process. The outer loop
ranges over a sequence of *N*_{w} Monte Carlo ``random walks.''
The inner loop consists of a sequence of *N*_{s} random ``footsteps'' for
a given random walk.

Stanford Exploration Project

11/17/1997