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Improvd downward branch and bound algorithm for regression variable selection


Yi Cao (view profile)


19 Feb 2013 (Updated )

Improved downward branch and bound to select the best subset for least squares regression problems.

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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.

MATLAB release MATLAB 8.0 (R2012b)
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19 Feb 2013 1.1

correct version uploaded

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