Technical Note: Masking Anstreicher Linx Bound for Improved Entropy Bounds

Published in Operations Research, 2022

This technical note presents masking techniques to improve Anstreicher Linx bound, resulting in tighter entropy bounds for the maximum-entropy sampling problem.

Recommended citation: Zhongzhu Chen, Marcia Fampa, and Jon Lee. (2022). Technical Note - Masking Anstreicher Linx Bound for Improved Entropy Bounds. Operations Research.
Download Paper