You may draw examples from Miguel Secillano, Terence Tao, or even from Shakuntala Devi, all you want – but if getting your ...

Boost your speed and accuracy in banking exams with these simple tips and shortcuts for Quantitative Aptitude 2025. Learn ...

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 ...

Abstract: In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one ...

With consumers engaging with content across more channels than ever before, optimizing spend is critical to ensure you’re reaching your audience where they are. Yet a significant hurdle remains: the ...

Abstract: Neural operators are a class of neural networks to learn mappings between infinite-dimensional function spaces, and recent studies have shown that using neural operators to solve partial ...