Subset (feature) selection for least squares regression is a common problem, which is combinartorial, hence is computationally NP hard. This code provides a tool using the improved downward branch and bound approach to solve this problem efficiently. One of the applications of this algorithm is to select globally optimal controlled variables for self-optimizing control.
Yi Cao (2020). Improvd downward branch and bound algorithm for regression variable selection (https://www.mathworks.com/matlabcentral/fileexchange/40357-improvd-downward-branch-and-bound-algorithm-for-regression-variable-selection), MATLAB Central File Exchange. Retrieved .
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