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Both sides previous revision Previous revision Next revision | Previous revision | ||
optimization_set [2016/07/24 21:20] nikolaj |
optimization_set [2016/10/16 16:31] nikolaj |
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+ | >todo | ||
+ | >#tag | ||
+ | >If p are parameters and c_p(x) curves with x_min(c_p)=f(p) known, try to find x_min(c') by fitting c_p to c'. Now what's p here. Is there a scheme so that we can extend the list p to have guaranteed that there are parameters so that eventually c_p=c'? | ||
+ | |||
If ${\mathrm{min}(r)}\subseteq Y$ denote the minimum values of $r$, then | If ${\mathrm{min}(r)}\subseteq Y$ denote the minimum values of $r$, then | ||
Line 43: | Line 47: | ||
with loss function | with loss function | ||
- | $V({\hat y},y)=({\hat y}-y)^2$ | + | $V({\hat y},y)=({\hat y}-y)\cdot({\hat y}-y)$ |
- | In practice, $x_i$ may be vectors and then $w$ is taken to be an inner product. | + | In practice, $x_i$ may be vectors and then $V$ is taken to be an inner product. |
=== Reference === | === Reference === |