Let be one of the likelihood functions described in the previous subsections. Let . Finding such that is maximized is equivalent to finding the solution to the likelihood equations With as the initial ...
Therefore, a line-search algorithm is an iterative process that optimizes a nonlinear function of one parameter () within each iteration k of the optimization technique. Since the outside iteration ...
The location problem is to find a point M whose sum of weighted distances from m vertices in p-dimensional Euclidean space is a minimum. The bestknown algorithm for solving the location problem is an ...
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