Runge-Kutta methods in Standard ML

Numerical simulations are used in a variety of computational problems. The error of the simulation is often of interest here. However, the error is usually not known and must be calculated using expensive methods such as adjoint error equations. We investigate the use of multiple Convulational Neural Networks (CNNs) architectures as efficient an…

Bootstrap method to estimate error like standard error or confident interval