User talk:Artur Adib

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[edit] Optimization (mathematics)

Thank you for your contributions to this page. I have just a small question about the paragraph:

Although one method might be better than others for a given class of cost functions, when seen as an "all-purpose" technique any computational search method performs just as well as any other method. This follows from the no-free-lunch theorem for combinatorial optimization problems, and the fact that any computational implementation of a search algorithm effectively discretizes the problem.

In the first sentence you say that all optimization methods perform the same on average. In the second sentence, you claim that this is true only for combinatorial optimization. I think these two sentences contradict each other.

Outside of combinatorial optimization I am not even sure if your statement is correct. For example gradient descent is always less performant than Newton's method, when the second method is applicable. Looking forward to feedback. Cheers, Oleg Alexandrov 01:01, 11 Jan 2005 (UTC)

Now if I think about it, I realize that you could be right. But that paragraph still needs some work I think. Its not quite clear when the no free lunch theorem is applicable. Oleg Alexandrov 01:06, 11 Jan 2005 (UTC)

[edit] Obsolete image tag

I noticed Image:Nflt.png is using the obsolete tag {{PD}}. Please update it to {{PD-self}} if you made it yourself or a different public domain tag if you obtained it from somewhere else. Thanks! --WikiSlasher 11:01, 15 September 2006 (UTC)