Physics Informed Learning, Neural Networks, Machine Learning, Differential Equations, Math.
used to solve DEs are not analytical (i.e. there is no "closed formula" for the solution) and we have to resource to numerical methods. However, numerical methods can be expensive from a computational standpoint, and worse than that: the accumulated error can be significantly large. This article