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docs/src/tutorials/backends/nlopt.md

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When [`NLopt.jl`](https://github.com/jump-dev/NLopt.jl) is loaded in the running Julia session,
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it could be used by the [`SemOptimizer`](@ref) by specifying `engine = :NLopt`
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(see [NLopt-specific options](@ref `SemOptimizer(Val(:NLopt))`)).
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(see ...).
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Among other things, `NLopt` enables constrained optimization of the SEM models, which is
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explained in the [Constrained optimization](@ref) section.
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docs/src/tutorials/backends/optim.md

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# Using Optim.jl
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[Optim.jl](https://github.com/JuliaNLSolvers/Optim.jl) is the default optimization engine of *SEM.jl*,
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see [`SemOptimizer(Val(:Optim))`](@ref) for a full list of its parameters.
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see ... for a full list of its parameters.
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It defaults to the LBFGS optimization, but we can load the `Optim` and `LineSearches` packages
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and specify BFGS (!not L-BFGS) with a back-tracking linesearch and Hager-Zhang initial step length guess:
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