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Runge-Kutta approximation for C 0 -semigroups in the graph norm with applications to time domain boundary integral equations.

Alexander RiederFrancisco-Javier SayasJens Markus Melenk
Published in: SN partial differential equations and applications (2020)
We consider the approximation of an abstract evolution problem with inhomogeneous side constraint using A-stable Runge-Kutta methods. We derive a priori estimates in norms other than the underlying Banach space. Most notably, we derive estimates in the graph norm of the generator. These results are used to study convolution quadrature based discretizations of a wave scattering and a heat conduction problem.
Keyphrases
  • neural network
  • convolutional neural network
  • machine learning
  • deep learning