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src/R2NLS.jl
@@ -178,8 +178,8 @@ where `F: ℝⁿ → ℝᵐ` is a vector-valued function defining the least-squa
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For advanced usage, first create a `R2NLSSolver` to preallocate the necessary memory for the algorithm, and then call `solve!`:
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- solver = R2NLSSolver(nlp)
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- solve!(solver, nlp; kwargs...)
+ solver = R2NLSSolver(nls)
+ solve!(solver, nls; kwargs...)
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# Arguments
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