As big data often contains a significant amount of uncertain, unstructured, and imprecise that are structurally complex incomplete, traditional attribute reduction methods less effective when applied to large-scale incomplete information systems extract knowledge. Multigranular computing provides powerful tool for use in analysis conducted at different levels granularity. In this article, we pr...

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 operator interfaces, which allows direct integration pyMOR's algorithms with wide array external PDE solvers. In this contribution, we give brief overview the available experimentally compare them parametric instationar...