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The doc categorization for Rosenbrock-W (after Wolfbrandt) are messed up on the latest release and need to be rolled back before f8f8307 see #2236 (comment) for more discussion and #2236 (comment) for the concrete action to take for the doc strings functions.
The text was updated successfully, but these errors were encountered:
Maybe Table 1 in https://github.com/hbrs-cse/RosenbrockMethods/blob/main/paper/JuliaPaper.pdf can help in deciding whether it is a W method. Note that the W property usually only refers to ODEs and not to DAEs.
However, the W property does not appear to be utilized in the implementation. The user must then specify an approximated Jacobian matrix themselves.
However, the W property does not appear to be utilized in the implementation.
It's somewhat implicit. If someone uses autodiff=false, the non-W methods can have some deterioration at lower tolerances. Autodiff makes that go away though, which is the most common option.
The best way to use the W property is to come up with some W-reuse scheme between steps, but we haven't really explored that as much as we should have since the best methods have been the Rodas methods, which don't have the property.
The doc categorization for Rosenbrock-W (after Wolfbrandt) are messed up on the latest release and need to be rolled back before f8f8307 see #2236 (comment) for more discussion and #2236 (comment) for the concrete action to take for the doc strings functions.
The text was updated successfully, but these errors were encountered: