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doi: 10.5281/zenodo.6667614 , 10.5281/zenodo.11534872 , 10.5281/zenodo.16884017 , 10.5281/zenodo.10359667 , 10.5281/zenodo.7072811 , 10.5281/zenodo.6622161 , 10.5281/zenodo.6914592 , 10.5281/zenodo.13134616 , 10.5281/zenodo.14635926 , 10.5281/zenodo.3269486 , 10.5281/zenodo.11534531 , 10.5281/zenodo.11624232
doi: 10.5281/zenodo.6667614 , 10.5281/zenodo.11534872 , 10.5281/zenodo.16884017 , 10.5281/zenodo.10359667 , 10.5281/zenodo.7072811 , 10.5281/zenodo.6622161 , 10.5281/zenodo.6914592 , 10.5281/zenodo.13134616 , 10.5281/zenodo.14635926 , 10.5281/zenodo.3269486 , 10.5281/zenodo.11534531 , 10.5281/zenodo.11624232
This is a bug fix release with no new features or changes to the user interface. Bug fixes Fix lots of small bugs related to running in parallel Fix several discrepancies among the code, examples, and manual Examples Added examples/subduction-3d steps 1-4 (included in the manual) Added examples/troubleshooting-2d (included in the PyLith v3.0 tutorials but not yet added to the manual) Documentation Added instructions for how to remove Apple quarantine attributes Fix LaTeX build of documentation (now available at https://pylith.readthedocs.io) Improved instructions on how to run ParaView Python scripts when starting ParaView from a shortcut Added notes indicating steps of examples are not yet updated for v3.0 Fix lots of typos Binary packages Updated PyLith Parameter Viewer (v2.0.0) for Python 3. Known issues The default PETSc options provide a computationally expensive preconditioner when solving incompressible elasticity problems in parallel. We expect to have a more optimal preconditioner in the next release. You may still encounter a few bugs when running in parallel; they appear to cases with specific partitioning of the mesh in relation to one or more faults.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 72 | |
| downloads | 7 |

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