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If ` PolyesterForwardDiff.jl ` is installed and loaded, then ` SimpleNonlinearSolve.jl `
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will automatically use ` AutoPolyesterForwardDiff ` as the default AD backend.
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+ !!! note
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+
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+ The `Sparse` versions of the methods refers to automated sparsity detection. These
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+ methods automatically discover the sparse Jacobian form from the function `f`. Note that
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+ all methods specialize the differentiation on a sparse Jacobian if the sparse Jacobian
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+ is given as `prob.f.jac_prototype` in the `NonlinearFunction` definition, and the
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+ `AutoSparse` here simply refers to whether this `jac_prototype` should be generated
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+ automatically. For more details, see
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+ [SparseDiffTools.jl](https://github.com/JuliaDiff/SparseDiffTools.jl) and
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+ [Sparsity Detection Manual Entry](@ref sparsity-detection).
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## API Reference
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### Finite Differencing Backends
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