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Improvd downward branch and bound algorithm for regression variable selection

version 1.1.0.0 (3.17 KB) by Yi Cao
Improved downward branch and bound to select the best subset for least squares regression problems.

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Updated 19 Feb 2013

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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.

Cite As

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 .

Comments and Ratings (3)

zhipeng lv

Wan-Yi Chiu

weinan liu

Updates

1.1.0.0

correct version uploaded

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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