  Version 5.99 of the empirical Gramian framework -- "emgr" -- completes a
development cycle which focused on parametric model order reduction of gas
network models while preserving compatibility to the previous development for
the application of combined state and parameter reduction for neuroscience
network models. Secondarily, new features concerning empirical Gramian types,
perturbation design, and trajectory post-processing, as well as a Python
version in addition to the default MATLAB / Octave implementation, have been
added. This work summarizes these changes, particularly since "emgr" version
5.4, see Himpe, 2018 [Algorithms 11(7): 91], and gives recent as well as future
applications, such as parameter identification in systems biology, based on the
current feature set.
