A discrete time model is presented for dynamic traffice assignment with a single destination. Congestion is treated explicitly in the flow equations. The model is a nonlinear and nonconvex ...

We show how the simplex algorithm can be tailored to the linear programming relaxation of pairwise energy minimization with binary variables. A special structure formed by basic and nonbasic variables ...

The use of a non-conventional linear programming technique, involving a piecewise differentiable penalty function minimization, is presented in this paper in connection with power system Constrained ...

The result is applied to bilevel programming problems to obtain Kuhn-Tucker type necessary optimality conditions. The Kuhn-Tucker type necessary optimality conditions are shown to be satisfied without ...

Will Knight is MIT Technology Review ’s Senior Editor for Artificial Intelligence. He covers the latest advances in AI and related fields, including machine learning, automated driving, and ...

You don't need to see a doctor for quick ways to ease your itching and pain or for ongoing help to keep the discomfort from getting worse.

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

A half-million diesel Volkswagen models have been cited for emissions violations. Here’s our handy guide to what’s happening.

This solver is adapted from the linear-fractional programming (LFP) from Mike Hohmeyer at UC Berkeley based on Raimund Seidel's algorithm. Kernel functions are reorganized. Previously-existed bugs are ...

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...