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Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model
Recent advances in wave modeling use sufficiently accurate fine solver outputs to train a neural network that enhances the accuracy of a fast but inaccurate coarse solver.
Computing Black Scholes with Uncertain Volatility-A Machine Learning Approach
In financial mathematics, it is a typical approach to approximate financial markets operating in discrete time by continuous-time models such as the Black Scholes model.
High order discretely well-balanced methods for arbitrary hydrostatic atmospheres
We introduce novel high order well-balanced finite volume methods for the full compressible Euler system with gravity source term.
Numerical Analysis Solar and Stellar Astrophysics Numerical Analysis Fluid Dynamics
