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Re: [Help-gsl] Stochastic descent in multimin functions


From: John Lamb
Subject: Re: [Help-gsl] Stochastic descent in multimin functions
Date: Tue, 18 Jan 2005 20:51:24 +0000
User-agent: Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7.2) Gecko/20040906

James Bergstra wrote:
Hi,

I was wondering if is safe / sane to provide a function for minimization
that uses a stochastic gradient estimate.  My gradient estimation would
thus produce different estimates for the same point, depending on the
internal state of the 'function'.  Aside from yeilding a noisy gradient,
would this interfere with the optimization?  Would one optimization type
be more appropriate than another in this case? (eg: grad descent vs.
conjugate transpose vs ?)

James Bergstra

You might have a look at some of the papers of WB Liu et al on SSC optimization methods.

--
JDL




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