I conat figure out what are the knows and what you want
to vary for your extremem principle.
:I know there exists LSF algorithms that minimize criterion:
:
:\sum^{n}_{i=1}w_{i}[a_{i}-t_{i}]^{2}
:
Is this supposed to be the standard linear regresion critera?
If so it should be more like:
sum[ ( y_i(x_i) - t(x_i) )^2 ]
where t(x) is linear t(x)=a x + b
Kind of looks like what you have, but what is w? Some kind of
weight function?
--
george jefferson : [EMAIL PROTECTED]
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