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The current implementation of jac_coord! internally creates c = Vector{Float64}(undef, nlp.meta.ncon), which allocates memory. I was wondering if we can create a workspace array in CUTEstModel and reuse it whenever jac_coord! is called to avoid this allocation.
The text was updated successfully, but these errors were encountered:
The current implementation of
jac_coord!
internally createsc = Vector{Float64}(undef, nlp.meta.ncon)
, which allocates memory. I was wondering if we can create a workspace array inCUTEstModel
and reuse it wheneverjac_coord!
is called to avoid this allocation.The text was updated successfully, but these errors were encountered: