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Merge pull request #23 from ArnoStrouwen/patch-1
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src/bisection.jl

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@@ -6,9 +6,9 @@ A common bisection method.
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### Keyword Arguments
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- `exact_left`: whether to enforce whether the left side of the interval must be exactly
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zero for the returned result. Defualts to false.
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zero for the returned result. Defaults to false.
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- `exact_right`: whether to enforce whether the right side of the interval must be exactly
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zero for the returned result. Defualts to false.
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zero for the returned result. Defaults to false.
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"""
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struct Bisection <: AbstractBracketingAlgorithm
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exact_left::Bool

src/raphson.jl

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!!! note
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As part of the decreased overhead, this method omits some of the higher level error
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catching of the other methods. Thus to see better error messages, use one of the other
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catching of the other methods. Thus, to see better error messages, use one of the other
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methods like `NewtonRaphson`
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### Keyword Arguments
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- `chunk_size`: the chunk size used by the internal ForwardDiff.jl automatic differentiation
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system. This allows for multiple derivative columns to be computed simultaniously,
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system. This allows for multiple derivative columns to be computed simultaneously,
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improving performance. Defaults to `0`, which is equivalent to using ForwardDiff.jl's
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default chunk size mechanism. For more details, see the documentation for
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[ForwardDiff.jl](https://juliadiff.org/ForwardDiff.jl/stable/).
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- `autodiff`: whether to use forward-mode automatic differentiation for the Jacobian.
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Note that this argument is ignored if an analytical Jacobian is passed as that will be
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Note that this argument is ignored if an analytical Jacobian is passed; as that will be
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used instead. Defaults to `Val{true}`, which means ForwardDiff.jl is used by default.
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If `Val{false}`, then FiniteDiff.jl is used for finite differencing.
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- `diff_type`: the type of finite differencing used if `autodiff = false`. Defaults to

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