radaar

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These are questions asked by radaar

Does Maplesoft provide success percentage of this toolbox on benchmark functions?. I cannot see much options in the global solve command (from maple help page) other than population size etc. 

I would like to know whether a local optimizer is combined with the present global optimization toolbox?. I read that toolbox has differential evolution and surrogate optimization techniques etc. These methods guarantee near-optimal solutions and it is often recommended to use a local optimization technique in conjunction with global optimization techniques. 

Error, (in Optimization:-NLPSolve) the objective gradients at the initial point are too small

 

So this error indicates that the initial point is a local minimum or very very close to it right?
 

I am running a for loop which for some loop index may give error message but it is fine for me to go with next loop indexes. but maple stop after the error message. How can I make maple to run even after the error message. Thank you

I am thinking of running maple in google cloud. Does Maplesoft available in google cloud

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