activity
20162026
most citedHierarchical Approximate Proper Orthogonal Decomposition

42 citations · 89 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MS2026

Data-Driven Model Order Reduction with pyMOR

Hendrik Kleikamp, Petar Mlinarić, Stephan Rave +1

pyMOR is a free and open-source software library of model order reduction algorithms for the Python programming language. Designed with classical model-based reduction methods for…

cs.GL2020★ 40 cited

An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action

Hartwig Anzt, Felix Bach, Stephan Druskat +40

Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes…

math.NA2020

A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction

Stephan Rave, Jens Saak

In this contribution we aim to satisfy the demand for a publicly available benchmark for parametric model order reduction that is scalable both in degrees of freedom as well as par…

cs.MS2020★ 4 cited

Parametric model order reduction using pyMOR

Petar Mlinarić, Stephan Rave, Jens Saak

pyMOR is a free software library for model order reduction that includes both reduced basis and system-theoretic methods. All methods are implemented in terms of abstract vector an…

cs.GL2019★ 3 cited

Sustainable Research Software Hand-Over

Jörg Fehr, Christian Himpe, Stephan Rave +1

Scientific software projects evolve rapidly in their initial development phase, yet at the end of a funding period, the completion of a research project, thesis, or publication, fu…

math.NA2016★ 42 cited

Hierarchical Approximate Proper Orthogonal Decomposition

Christian Himpe, Tobias Leibner, Stephan Rave

Proper Orthogonal Decomposition (POD) is a widely used technique for the construction of low-dimensional approximation spaces from high-dimensional input data. For large-scale appl…