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Add chebyquad#414

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arnavk23 wants to merge 2 commits intoJuliaSmoothOptimizers:mainfrom
arnavk23:add-chebyquad-mainonly
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Add chebyquad#414
arnavk23 wants to merge 2 commits intoJuliaSmoothOptimizers:mainfrom
arnavk23:add-chebyquad-mainonly

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@arnavk23 arnavk23 commented Mar 31, 2026 •
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Closes #115
Builds on #280

arnavk23 added 2 commits March 31, 2026 12:35
@arnavk23
Fix chebyquad: AD compatibility, multi-precision, and test suite inte…
ab1dc3f 
…gration

- Make Cheby function robust for AD and floating-point noise
- Add all necessary chebyquad overloads for type=Val(T), type=T, positional and keyword arguments, and model selection
- Ensure chebyquad works for both NLP and NLS forms
- Add fallback for keyword-only calls
- Confirmed gradient is valid and tests now run to completion
@arnavk23
fixing failing tests in chebyquad.jl
3e87752
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arnavk23 commented Mar 31, 2026 •
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OptimizationProblems.jl> julia --project -e "using ADNLPModels, OptimizationProblems.ADNLPProblems, NLPModels; nlp = chebyquad(); x = get_x0(nlp); println(grad(nlp, x))"

[0.4884343917032366, 0.3427897511394064, 0.12791614745429375, -0.04864916711127345, -0.11538430033659702, -0.07476947610247212, 0.009731027758558827, 0.0643710938139633, 0.05515576651091031, 0.002857933486413361, -0.04294916891897461, -0.046556537370172665, -0.011654108898887901, 0.027366416958388744, 0.037289518364351924, 0.013153208329055744, -0.02080031789049889, -0.03448661127266264, -0.018054507407989973, 0.01144198481365151, 0.02694757406002861, 0.015734899274417083, -0.010381745365069962, -0.027054133241672582, -0.019873546920724607, 0.0031758577269359514, 0.020035663202020465, 0.015362580900101817, -0.005589643709327231, -0.02257820030185312, -0.01980318868636321, -0.000705354956114449, 0.01577153986669283, 0.01368632657181804, -0.004514535514698286, -0.020638528674029447, -0.018839492485096854, -0.0013590352625745313, 0.01379629574999258, 0.011115293172347638, -0.006541290586890774, -0.020800877590383498, -0.016833282943028813, 0.000961515104431679, 0.013370242932792443, 0.006828884473594402, -0.011667438022023515, -0.021802457728230383, -0.01227679629171297, 0.006148985919863728, 0.012256626597793075, -0.0013869419774942384, -0.01915253912920277, -0.020009502174905262, -0.002711990522957443, 0.011707142757530166, 0.0049745356697277684, -0.015151393002800896, -0.023313899457658938, -0.008591623775488187, 0.010022525841194573, 0.007208241193833812, -0.014275552760777806, -0.025259886928948032, -0.009713554930765023, 0.01071628944778388, 0.0054994507644348335, -0.019175637539573808, -0.026309655390087314, -0.0036917698538219404, 0.013432588737551378, -0.004371334136517044, -0.02960995436482998, -0.018811865226317497, 0.01111789585726821, 0.005665065477686967, -0.0286238323204927, -0.027390333954238337, 0.010042427674828854, 0.008055771748754643, -0.034478916011086866, -0.027108455996210524, 0.018628181856769038, -0.0048239968178649065, -0.04921133132577815, -0.0008755768031082747, 0.019718489087599274, -0.05432023624291835, -0.015679414679670472, 0.031133475646888842, -0.07414494351288908, 0.010005144563976252, 0.0023477253483035598, -0.08839780208559837, 0.0841272983192187, -0.16796474155652863, 0.15584154363914918, -0.18432770471192625, -0.4108940312064887, 0.623128954648702]

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Moré - Garbow - Hillstrom test set

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