Fix type instability in LinearSolve QR factorization fallback#624
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Requires SciML/LinearSolve.jl#617 This now uses the DefaultLinearSolver sum type in order to do the QR factorization fallback. This removes the `additional_lincache` which was `::Any`. This fixes a core type instability on the `LinearSolveResult` that was causing a pretty decently large slow down to the Newton methods. This also makes it so if the user specifically says they want LU, it don't do anything different.
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Requires SciML/LinearSolve.jl#617
This now uses the DefaultLinearSolver sum type in order to do the QR factorization fallback. This removes the
additional_lincachewhich was::Any. This fixes a core type instability on theLinearSolveResultthat was causing a pretty decently large slow down to the Newton methods. This also makes it so if the user specifically says they want LU, it don't do anything different.