Please help me to run kind of function which have three differents predictors as xi,yi and zi with the data ui. i find here xi,yi and zi
I also try it as follow but no response after run it in Matlab
ui=[1 2 3 4 5 6]; %%% puissance
sse =@(x)sum((ui - xi./(k.*yi.*zi)).^ 2); %function similar to yours
fminsearch(sse,0) %find the xi,yi,zi
Hi, it seems at a first glance that your function sse is not well defined. Indeed, xi are not related to x that seems the unknown variable.
Hi Richard Eponey. Thanks for your paying attention of my request. xi,yi and zi are predictors vectors. Three variables xi,yi and zi are unknown vectors. My goal is to determine every vector which minimize the SSE. I also try one programm which have one unknown vector. It is:
K=[1 2 3 4 5 6]; %some data to test
rms =@(x)sqrt(sum((K - x).^ 2)); %function similar to yours
fminsearch(rms,0) %find the x
I have result of this but i can be able to solve my own problem with 3 unknown predictors.
Please help me
Hi, in MATLAB when looking to the help of fminsearch, x is the unique unknown vector of function sse. Thus, you need to formulate your problem in a different way.
Hi, my problem is the formulation of this sse with more than one predictor. I already found it in Matlab help without success.
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