Developement Of A Batch Mode For Conduit And Its ... - Cal Poly

opponent. The computer would then rank the results of each combination and choose the
move that promises the best possible outcome. In the case of resolving correlated
parameters, each parameter would be frozen one at a time. The gradient and Cramer Rao
percentages would be recalculated and the results from this freezing would then be
evaluated in the same manner. This process would repeat for every combination of
freezing of design parameters. The end results would then be examined, and the
combination with the highest number of non-frozen design parameters would be used.
While this method would guarantee that the Cramer Rao percentages were reduced below
20%, freezing the least number of design parameters, the computational requirements for
all the possible combinations make this method unfeasible. It might be possible to
improve this method, but the number of gradient calculations would still be large.
The method that was eventually used was much simpler than the two other
methods, both in the computational requirements and its abilities. It involves freezing the
parameter with the highest Cramer Rao percentage, reevaluating the gradient and Cramer
Rao percentages, and repeating the process. While this method appears at first to be too
simple, it is surprising how effective it can be. This can best be demonstrated through an
example.
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