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optimizeRun() tutorial?

markbeck

Does anyone out there know of a tutorial that shows how to use the optimizeRun command (and supporting commands)?

I'm trying to create an ocean script for running optimizations, but when I try to run it I'm getting errors..

e.g.:  *Error* eval: undefined function - ocniOptVariables

Never heard of it, and it doesn't show up in the finder.

 Thanks,

Mark

Parents
  • Hi Stacy,

    Thanks a lot for the speedy response.

    I was thinking of the same thing myself, although it is not straightforward. And I think all optimizers (including the IC 5 now obsolete optimizer) have a special match function for curve fitting. The new optimizer in GXL is clearly missing this feature.

    Anyway, I tried what you suggested, both with a simple difference and the compare function. It did not work. For a simple one parameter optimization (first order filter) it works. But for a 5th order filter with 5 parameters C1, C2, .. C5, it runs through 200 simulations before I have to stop it and the resulting "optimized" response is not even close to the target one. Just for your information, I have done this before hundreds of times, and with the old optimizer it would typically take about 3 to 4 iterations each of 6 to7 simulations to converge perfectly no matter what starting point.

    I can send you test case if you wish.

    Thanks a lot. I appreciate it.
Reply
  • Hi Stacy,

    Thanks a lot for the speedy response.

    I was thinking of the same thing myself, although it is not straightforward. And I think all optimizers (including the IC 5 now obsolete optimizer) have a special match function for curve fitting. The new optimizer in GXL is clearly missing this feature.

    Anyway, I tried what you suggested, both with a simple difference and the compare function. It did not work. For a simple one parameter optimization (first order filter) it works. But for a 5th order filter with 5 parameters C1, C2, .. C5, it runs through 200 simulations before I have to stop it and the resulting "optimized" response is not even close to the target one. Just for your information, I have done this before hundreds of times, and with the old optimizer it would typically take about 3 to 4 iterations each of 6 to7 simulations to converge perfectly no matter what starting point.

    I can send you test case if you wish.

    Thanks a lot. I appreciate it.
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