Hi, I am performing FORM analysis with AbdoRackwitz optimization algorithm.
I am using: gradient = ot.CenteredFiniteDifferenceGradient(steps, f.getEvaluation()) (where f is a NumericalMathFunction()) steps = ot.ConstantStep(epsilon) I tried two different values of epsilon: 0.00001 and 1.0. I couldn’t see any difference in the input parameters that are considered at each evaluation. Why? How is the value of epsilon going to affect the input parameters? Also, after the first evaluation, the message: ‘WRN - You are using a default implementation for the gradient. Be careful, your computation can be severely wrong!’ is printed. Is it because I am not defining the gradient through the _gradient(self, X) method? Thanks in advance for your help.
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