The application of radial basis function networks for approximating functions and solving partial differential equations has investigated. Fast gradient first-o ...

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

In this video, we will be looking at 10 Python functions that will simplify your life. These can save you a ton of time and a ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

KJELL-OVE WIDMAN, INEQUALITIES FOR THE GREEN FUNCTION AND BOUNDARY CONTINUITY OF THE GRADIENT OF SOLUTIONS OF ELLIPTIC DIFFERENTIAL EQUATIONS, Mathematica Scandinavica, Vol. 21, No. 1 (1967), pp.

Let’s be clear: no one’s asking you to solve differential equations at the supermarket. But let’s not throw the baby out with the algebra. Because math, dear reader, is not just about numbers.

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

In this paper, a new Zhang finite difference (ZFD) formula with higher accuracy, termed 4-node g-square finite difference (4NgSFD), is presented and applied to solving ordinary differential equations ...