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Job farming has great impact on the performance of the optimization
procedure. Arising from the algorithm which is typically used by
optimizers we can distinguish between two phases of the whole
procedure. An iteration cycle starts with a test evaluation of a set
of parameters which has been identified to deliver a better
target. After an improvement was achieved the optimizer evaluates the
Jacobian of the model, which is necessary to be able to search for
better sets of model parameters. Each of these phases requires
different capabilities of the job farming system for optimal
performance.
Rudi Strasser
1999-05-27