A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...

ABSTRACT: This study presents a modified primal-dual interior point method (MPD-IPM) for solving convex quadratic optimization problems. The modification is performed through linearization of the ...

There could be one more step required before creating an account and posting on Reddit in the future. According to Reddit's CEO, Steve Huffman, the social media platform is exploring different ways to ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Schools are facing a growing problem of students using artificial intelligence to transform innocent images of classmates into sexually explicit deepfakes. The fallout from the spread of the ...

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 ...

Tucker Carlson interviewed white nationalist Nick Fuentes, and now the right is divided on whether that’s okay. Host Mary Louise Kelly speaks with Odette Yousef, a national security correspondent ...

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 ...

from cuopt.linear_programming import DataModel, Solve, SolverSettings import numpy as np from cuopt_mps_parser import ParseMps dm = ParseMps("Bug2.mps") sol = Solve ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...