I basically have a "fitting" problem but I can't solve it:
Given a bunch of variables x0, x1, x2, x3... xn, I create an array X=function(x0,x1,x2,x3). Then I compare X to an exisiting vector Y. Now, a function should iterate and optimize x0...xn in order to minimize the cost function Y-X.
Note that X and Y cannot be expressed as symbolic functions. Is there a build in function that can help me do this?