Hendrik Ranocha

Using Machine Learning to Design Time Step Size Controllers for Stable Time Integrators

Abstract We present a new method for developing time step controllers based on a technique from the field of machine learning. This method is applicable to stable time integrators that have an embedded scheme, i.e., that provide a local error estimate similar to Runge–Kutta pairs...