how to optimize a function ( 6 independent variables) which is not smooth but has rough minimum point
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Dear fellows,
I have asked this question before in a previous post http://www.mathworks.co.uk/matlabcentral/answers/129592-how-to-optimize-a-function-which-is-no-smooth-but-has-rough-minimum-point
But now I realize though those replies do help in the case with only variable, they could not solve my problem. But in my problem, the function f contains 6 variables. And I want to minimize the function through the 6 variables? Could you offer me some advice please?
Thanks, Xueqi
2 Comments
Matt J
on 8 Jul 2014
Edited: Matt J
on 8 Jul 2014
How is the situation critically different now that you have 6 variables, exactly? The general advice there was to smooth the surface. In particular, Alan Weiss' recommendation that you convolution-smooth the function can still be done in 6 dimensions.
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