Gauss Newton & LM Robustness Fixes #258
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@@ Coverage Diff @@
## master #258 +/- ##
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- Coverage 94.48% 92.47% -2.02%
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Files 18 18
Lines 1614 1687 +73
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+ Hits 1525 1560 +35
- Misses 89 127 +38
... and 2 files with indirect coverage changes 📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more |
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src/utils.jl
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| NormalBunchKaufmanFactorization) | ||
| @eval needs_square_A(::$(alg)) = false | ||
| end | ||
| for kralg in (LinearSolve.Krylov.lsmr!, LinearSolve.Krylov.craigmr!) |
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GMRES requires square matrix
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That's interesting 😅 . Algorithmically that's not required. It is an algorithm that provably gives the L2 solution on non-square matrices, just like QR.
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This needs a rebase? |
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I am really unsure what to do with the Broyden/Klement failures. They fail on 1.9 but magically pass on 1.10 |
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@ChrisRackauckas I am disabling the Broyden and Klement 23 test problem tests. I will open and issue and we can deal with it later. No reason to hold off this PR which solves a completely tangential issue |
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Merge after #257
For
$$J \delta x = -f(x)$$
GaussNewtondefaults toQRFactorization(ColumnNorm()), to ensure we can directly solve forFor
LMwe solve