steps towards iterative solvers + tests for general numbers #263
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## main JuliaLang/julia#263 +/- ##
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- Coverage 70.27% 52.68% -17.59%
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Files 14 14
Lines 841 837 -4
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- Hits 591 441 -150
- Misses 250 396 +146
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I don't think we want to do this approach. Instead, we should do an approach like https://github.com/SciML/NonlinearSolve.jl/blob/master/src/ad.jl where an overload catches the floats and just makes BLAS solve the problem in Float64s by appropriately reinterpreting. That would be faster than using the BLAS fallbacks. |
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Dual number support needs to happen differently, but the rest is fine? Can you rebase this? |
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Doesn't work for Duals in the moment