Selection of Proper Optimization Function for Finding Global Minimum

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I am currently working on the following optimization problem and want to ensure I am getting the global minimum. I am not familiar with optimization functions, so am not sure which algorithm is most appropriate for me. I have access to the Global Optimization Toolbox. The objective function is written as such:
function e2 = IOT_objective(r)
%want to minimize e2
% r --> A row vector with a size of 1 x n
% S --> matrix with a size of n x m
% dm --> A row vector with a size of 1 x m
e=dm-r*S;
e2=e*e';
end

Accepted Answer

Matt J
Matt J on 29 Apr 2021
If r is the only unknown, then your objective is convex. Assuming your constraints are also convex, any solution will be a global minimum.
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