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 ...

As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...

This workshop provides comprehensive training in high-performance scientific computing using the Julia programming language and the SciML (Scientific Machine Learning) ecosystem. Designed for ...

THE teaching of differential equations in English universities usually follows an unsatisfactory middle path. General theory is omitted as too difficult, while numerical methods are considered ...

In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

Great for teaching/learning numerical methods step by step. Good reference for people writing their own solvers in C/Fortran/Julia. Lightweight, no dependencies. Consistent object-oriented API (.solve ...

Chess, card games, and pickleball are just some of the games that can help keep your brain healthy and stimulated. Brain health is a vital part of overall well-being as we age. Research suggests the ...