@@ -139,7 +139,7 @@ for the longstanding and productive collaboration in the field of Markov modelin
139139M. Weber, together with Susanna Röblitz and K. Fackeldey, had the original idea to employ Schur
140140vectors instead of eigenvectors in the coarse-graining of non-reversible transition matrices. |br |
141141Further, we would like to thank `Fabian Paul `_ for valuable discussions regarding the sorting of Schur vectors and his
142- effort to translate the original sorting routine for real Schur forms, ` SRSchur `_ published by `Jan Brandts `_,
142+ effort to translate the original sorting routine for real Schur forms, SRSchur published by `Jan Brandts `_,
143143from MATLAB into `Python code `_,
144144M. Weber and `Alexander Sikorski `_ for pointing us to `SLEPc `_ for sorted partial Schur decompositions,
145145and A. Sikorski for supplying us with an `code example `_ and guidance how to interface SLEPc in Python.
@@ -152,8 +152,7 @@ Further, utility functions found in `pygpcca/utils/_utils.py`_ originate from MS
152152.. _`CMD` : https://www.zib.de/numeric/cmd
153153.. _`ZIB` : https://www.zib.de/
154154.. _`Fabian Paul` : https://github.com/fabian-paul
155- .. _`SRSchur` : http://m2matlabdb.ma.tum.de/SRSchur.m?MP_ID=119
156- .. _`Jan Brandts` : https://doi.org/10.1002/nla.274
155+ .. _`Jan Brandts` : https://www.math.uu.nl/publications/preprints/1180.pdf
157156.. _`Python code` : https://gist.github.com/fabian-paul/14679b43ed27aa25fdb8a2e8f021bad5
158157.. _`Alexander Sikorski` : https://www.zib.de/members/sikorski
159158.. _`SLEPc` : https://slepc.upv.es/
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