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  • Catch any errors in fit_regselect*() that occur when the model uses refit().
  • Tikhonov-type least-squares solvers do not require the regularizer in the constructor but will raise an AttributeError in solve() (and other methods) if the regularizer is not set. This makes using fit_regselect_*() much less cumbersome.
  • PODBasis.fit(Q) raises a warning when using the "method-of-snapshots"/"eigh" strategy if $n < k$ for $\mathbf{Q}\in\mathbb{R}^{n \times k}.$ In this case, calculating the $n \times k$ SVD is likely more efficient than the $k \times k$ eigenvalue problem.
  • Added Python 3.13 to list of tests.
  • Added one reference to the literature page.

Version update 0.5.13 --> 0.5.14.

@shanemcq18 shanemcq18 merged commit e44b6da into Willcox-Research-Group:main Apr 10, 2025
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@shanemcq18 shanemcq18 deleted the refit branch April 10, 2025 22:27
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