ChainRules.jl
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List of papers, PDFs etc. with rules
- https://people.maths.ox.ac.uk/gilesm/files/NA-08-01.pdf
- QR: https://arxiv.org/pdf/1001.1654.pdf
https://arxiv.org/pdf/1710.08717.pdf might include a few more as well.
Cholesky: https://arxiv.org/abs/1602.07527
https://tminka.github.io/papers/matrix/ may have some too
SVD: https://j-towns.github.io/papers/svd-derivative.pdf
some stuff may be buried in https://dlmf.nist.gov/ e.g. Bessel functions https://dlmf.nist.gov/10.29#i
#144 - AD-friendly eigendecomposition from NeurIPS 2019.
https://github.com/JuliaDiff/ChainRules.jl/issues/238 - more linear algebra rules
From #238: This paper (there seems to be a free earlier version here) has a number of reverse-mode rules, in particular for BLAS and LAPACK subroutines. Saw a bunch we don't have in there (see the tables).