The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

Abstract: Inverse problem requiring repeated forward computation is a hard ill-posed problem. Traditional linear inversion methods like Newton method and Newton-like methods may not be optimal ...

Abstract: A new heuristic optimization algorithm is presented to solve the nonlinear optimization problems. The proposed algorithm utilizes a stochastic method to achieve the optimal point based on ...

This code is structured as a standalone tool to use as a solver for DIMACS minimum cost flow problem files. Solution is then given as a DIMACS minimum cost flow solution file optionally with flow ...