Research Reveals the Optimal Way to Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
IEEE

Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm

Abstract: Downlink beamforming is a key technology for cellular networks. However, computing beamformers that maximize the weighted sum rate (WSR) subject to a power ...
Scientific Research Publishing

Klee, V. and Minty, G. (1972) How Good Is the Simplex Algorithm? In Inequalities. Academic Press, New York.

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...
IEEE

An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling

Abstract: The distributed no-idle permutation flowshop scheduling problem (DNIPFSP) has widely existed in various manufacturing systems. The makespan and total tardiness are optimized simultaneously ...
Lifehacker

Use the 'MIT Method' to Keep Your Big-Picture Goals in Mind During Everyday Tasks

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...
The New York Times

How ‘Stranger Things’ Defined the Era of the Algorithm

A nostalgic hit built out of vintage pop-culture references captured the “If you liked that, you’ll like this” spirit of Netflix. In the summer of 2016, streaming TV was still figuring itself out.