Quantitative Finance, Differential Equations, Option Pricing, Deep Neural Networks, Pytorch.
solving the PDEs Numerically are: Finite Difference Methods Galerkin Methods Finite Element Methods Monte Carlo Methods Physics-Informed Neural Networks (PINNs) Physics-informed neural networks (PINNs) are a type of universal function approximators that can embed the knowledge of any physical laws