Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

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 ...

BWT Alpine Formula One Team is pleased to announce a new partnership with BlockDAG, the next-generation Layer One blockchain ...

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...

Lewis Hamilton, Ferrari, on his way to fastest in first practice for the 2025 Formula 1 Italian Grand Prix at Autodromo Nazionale Monza, Monza. | Scuderia Ferrari Lewis Hamilton marked his first visit ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an efficient two-level strategy to accelerate the solution of the CASSCF ...

Causal inference is known to be very challenging when only observational data are available. Randomized experiments are often costly and impractical and in instrumental variable regression the number ...

A linear demand curve is a line representing the relationship between the demand for a product or service and its price. Everyone knows that sales are proportional to price: The more you charge for an ...

Abstract: Time-varying linear equations (TVLEs) play a fundamental role in the engineering field and are of great practical value. Existing methods for the TVLE still have issues with long computation ...