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fmincon, MaxFunctionEvaluations and out of memory

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Hessam Fathipour
Hessam Fathipour el 30 de Mayo de 2019
Editada: Walter Roberson el 1 de Jun. de 2019
When I increasing manually the "MaxFunctionEvaluations" in fmincon, optimization stopped because of "out of memory". How can I fix it?
  1 comentario
Walter Roberson
Walter Roberson el 30 de Mayo de 2019
I would not tend to expect that unless your objective function is saving data to memory, or in certain cases involving OutputFcn or PlotFcn ?

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Hessam Fathipour
Hessam Fathipour el 1 de Jun. de 2019
Editada: Hessam Fathipour el 1 de Jun. de 2019
it's that error I mentioned:
Error using ldl
Out of memory. Type "help memory" for your options.
Error in formAndFactorKKTmatrix
Error in computeTrialStep
Error in barrier
  1 comentario
Walter Roberson
Walter Roberson el 1 de Jun. de 2019
Editada: Walter Roberson el 1 de Jun. de 2019
Are you using OutputFcn or PlotFcn or saving data to persistent memory or global variables?
Are you using a lot of input variables? Possibly enough that without the increasing in function evaluations, it cannot estimate the gradient even once, so increasing the maximum function evaluations might be permitting it to proceed further than it would otherwise?

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