Linear programming (LP) is among the most fundamental optimization techniques. However, solving LP problems on conventional digital hardware is increasingly constrained by the polynomial computational ...
Below you find an automatically generated list of the publications of our group. Publications are ordered by year. This list is generated from an external database and contains the most recent ...
rasmusbergpalm/DeepLearnToolbox - Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2021.
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China Media Lab, Massachusetts Institute of Technology, 77 ...
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