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Update Ipopt.jl and ADNLPModels.jl #68

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ccoffrin merged 1 commit into lanl-ansi:nlp-models-0.8.4 from amontoison:bump-adnlpmodels-ipopt

Sep 7, 2024

+414 −218

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amontoison commented Jul 29, 2024 •

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More recent versions of Ipopt.jl with the latest Ipopt_jll.jl and the associated dependencies (MUMPS_jll.jl, SPRAL_jll.jl, etc...).
More recent version of ADNLPModels.jl. We just added a symmetric coloring for the Hessian of the Lagrangian instead of a column coloring, which helps to compute fewer directional derivatives to recover all non-zeros and thus provides a speed-up.

Thanks again @ccoffrin, rosetta_opf is very useful to benchmark sparse AD.

amontoison force-pushed the bump-adnlpmodels-ipopt branch from 2aa7332 to 82b14ca Compare

July 31, 2024 14:26


          Update Ipopt.jl and ADNLPModels.jl

432e7b7

amontoison force-pushed the bump-adnlpmodels-ipopt branch from 25df244 to 432e7b7 Compare

August 17, 2024 18:12

ccoffrin changed the base branch from main to nlp-models-0.8.4

September 7, 2024 17:14

ccoffrin merged commit ec5e675 into lanl-ansi:nlp-models-0.8.4

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amontoison deleted the bump-adnlpmodels-ipopt branch

September 7, 2024 17:29

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ccoffrin commented Sep 8, 2024

Results from a comprehensive test are here, https://discourse.julialang.org/t/ac-optimal-power-flow-in-various-nonlinear-optimization-frameworks/78486/98

Runtime on large models is reduced by ~2x.

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