Abstract

pyMOR is a free and open source software library for writing model order reduction applications with the Python programming language. Implemented algorithms include both Reduced Basis and system-theoretic reduction methods, as well as non-intrusive approaches such as approximation with artificial neural networks. All these algorithms can be easily integrated with external high-performance PDE solver packages. In this poster contribution we give a brief overview on the design of pyMOR. Further, we will present in more details two main features of the upcoming 2022.1 release: 1. a new and unified model hierarchy, 2. new discretization routines to create these models from common analytical problem definitions using different PDE solver backends.