Some General Hospital villains burn slowly. Others trip over their own ego, slide into danger, and practically gift-wrap their exit. Villainous Professor Dalton (Daniel Goddard) chose door number two.

General Hospital (GH) spoilers reveal that Harrison Chase’s (Josh Swickard) need to protect Willow Tait (Katelyn MacMullen) could cause problems in his marriage to Brook Lynn Quartermaine-Chase ...

General Dynamics’ IT services unit has won a potential 10-year, $308.7 million contract to help the Centers for Disease Control and Prevention run a medical benefits program that supports people ...

General Motors will temporarily lay off workers at its Wentzville assembly plant in Missouri. According to a letter sent to employees by the head of the plant and the head of the local union, a ...

Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

TikTok user @carsrme2 has issued a public service announcement. He recommends running away from General Motors trucks and SUVs with the 6.2-liter V8 engine. In a video, he shares that GM issued a stop ...

Tired of learning syntax for every new language? This project is built on the core belief that fundamental programming logic transcends language boundaries. By mastering the concepts here in ...

The U.S. Army has awarded a task order valued at up to $580 million to General Dynamics Global Force for Integrated Base Defense, or IBD, and force protection family of systems equipment and support.

Abstract: Gauss’s principle of least constraint transforms a dynamics problem into a pure minimization framework. We show that this minimization problem is a Strongly Convex Quadratic Programming ...