Hi Jeesh, Le 04/07/2011 19:47, jeesh a écrit : > Thanks! I've got it to work! One more quick question - how would I take the > function& parameters that the algorithm just spat out and then find the > global max z value (and associated x,y coordinate) of the function? If I understand your needs, this is an additional, independent problem from the former one. In the former problem, you had some sampling points and wanted to have the parameters of your Gaussian. Now you have a perfectly defined Gaussian function, using the parameters you have estimated from the first problem, and you want to find the maximum of this function. Is this right ? If this is right, then you can simply compute analytically the maximum since Gaussian function is really simple. Lets say you defined your Gaussian function from parameters p0, p1, p2, p3, p4 as follows: g(x, y) = p0 * exp(-(x-p1)^2/p2 - (y-p3)^2/p4) Then the maximum is at (xmax, ymax) = (p1, p3) and the corresponding zmax value is p0. If you had a much more difficult function for which solving analytically the extremum is not feasible, then you should use another optimization algorithm (like PowellOptimizer or CMAESOptimizer) that deal with multivariate real-valued functions. Luc > > -- > View this message in context: http://apache-commons.680414.n4.nabble.com/Math-Jacobian-Matrix-of-f-x-y-tp3641890p3644174.html > Sent from the Commons - User mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscribe@commons.apache.org > For additional commands, e-mail: user-help@commons.apache.org > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscribe@commons.apache.org For additional commands, e-mail: user-help@commons.apache.org