julia> model = hovercraft1d()
ADNLPModel - Model with automatic differentiation backend ADNLPModels.ADModelBackend{ADNLPModels.ForwardDiffADGradient, ADNLPModels.ForwardDiffADHvprod, ADNLPModels.ForwardDiffADJprod, ADNLPModels.ForwardDiffADJtprod, ADNLPModels.ForwardDiffADJacobian, ADNLPModels.ForwardDiffADHessian, ADNLPModels.ForwardDiffADGHjvprod}(ADNLPModels.ForwardDiffADGradient(ForwardDiff.GradientConfig{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}, Float64, 11, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}, Float64, 11}}}((Partials(1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0), Partials(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}, Float64, 11}[Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112686117e-314,8.487983164e-314,-3.713492635e-313,-4.13789179327e-313,8.487983164e-314,5.5112686315e-314,8.487983164e-314,5.21501685588737e-310,4.243991582e-314,0.0,5.5112686513e-314,8.4879831644e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(4.243991689e-314,8.4879831644e-314,2.121995791e-314,5.511268671e-314,8.487983164e-314,4.2439916896e-314,3.56e-322,2.121995791e-314,5.511268691e-314,8.487983164e-314,8.4879831644e-314,2.630694946e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,5.5112687106e-314,8.487983164e-314,2.77e-322,8.0e-323,4.243991582e-314,5.5112687303e-314,8.4879831644e-314,4.243991689e-314,1.69759663277e-313,4.243991582e-314,5.51126875e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(8.487983164e-314,8.0e-323,5.509959409e-314,4.243991582e-314,5.51126877e-314,8.487983164e-314,4.243991582e-314,5.5112689754e-314,4.243991582e-314,5.5112687896e-314,8.487983164e-314,5.5099595433e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112688015e-314,8.487983164e-314,5.5112688094e-314,8.4879831644e-314,4.24399169e-314,2.1837517714e-314,0.0,5.511268829e-314,8.4879831644e-314,4.2439916906e-314,8.4879831644e-314,4.243991582e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511268849e-314,8.487983164e-314,1.07e-321,4.74e-322,4.604730866395e-312,5.5112688687e-314,8.487983164e-314,8.4879831644e-314,5.511173115e-314,0.0,5.5112688884e-314,8.4879831644e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(1.07e-321,7.29112201955641e-304,4.243991582e-314,5.511268908e-314,8.487983164e-314,5.5111732136e-314,5.5112688726e-314,0.0,5.511268928e-314,8.487983164e-314,4.24399159e-314,5.509960081e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(4.243991582e-314,5.5112689477e-314,8.487983164e-314,2.183674721e-314,0.0,4.243991582e-314,5.5112689675e-314,8.4879831644e-314,4.243991689e-314,5.5112689793e-314,8.487983164e-314,5.511268987e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(8.487983164e-314,0.0,-2.843474359893e-312,0.0,5.511269007e-314,8.487983164e-314,5.511269015e-314,8.4879831644e-314,4.243991582e-314,5.511269027e-314,8.487983164e-314,2.052268400649192e-289), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.93e-322,5.21501685587625e-310,5.5112690465e-314,8.487983164e-314,8.4879831644e-314,5.511173609e-314,4.243991582e-314,5.5112690663e-314,8.487983164e-314,5.14e-322,4.24399159e-314,4.243991582e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511269086e-314,8.487983164e-314,5.5111737077e-314,1.06099789553e-313,6.3659873724e-314,5.511269106e-314,9.5e-322,4.77449052971e-312,5.509960887e-314,5.5112691216e-314,8.4879831644e-314,5.5111739053e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5093952057e-314,2.1814026533e-314,0.0,1.383e-321,8.487983168e-314,5.5099610216e-314,5.511269157e-314,8.4879831644e-314,5.511174004e-314,8.487983164e-314,5.5093950397e-314,4.604896647316e-312), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,4.24399159e-314,5.509961156e-314,5.511269193e-314,8.4879831644e-314,5.511174103e-314,5.5112692046e-314,8.487983164e-314,5.511269007e-314,1.225e-321,8.0e-323,5.5099612903e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112692283e-314,8.4879831644e-314,5.5111742017e-314,5.00791006668e-312,5.511269244e-314,8.487983164e-314,1.146e-321,3.989352087094e-312,6.3659873724e-314,5.511269264e-314,8.4879831644e-314,5.5111743005e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511269007e-314,4.243991582e-314,5.5112692837e-314,1.067e-321,4.24399159e-314,5.509961559e-314,5.5112692995e-314,8.4879831644e-314,5.5111743994e-314,5.511104309e-314,5.511269169e-314,3.968132129105e-312), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(9.9e-322,8.487983172e-314,5.5099616935e-314,5.511269335e-314,1.06099789543e-313,5.511174498e-314,8.487983164e-314,1.0634846093e-313,5.511269007e-314,1.423e-321,4.243991586e-314,5.5099619623e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112693706e-314,8.4879831644e-314,5.509493778e-314,5.5112693825e-314,8.487983164e-314,4.2439938586e-314,0.0,4.24399159e-314,5.509962231e-314,5.511269406e-314,8.4879831644e-314,5.5094939754e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(4.2439915814e-314,5.511269422e-314,8.4879831644e-314,0.0,8.0e-323,5.5099625e-314,5.511269442e-314,8.4879831644e-314,5.509494173e-314,2.1219958226e-314,4.243991582e-314,5.5112694615e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,5.21501685587704e-310,5.5099627686e-314,5.5112694774e-314,8.4879831644e-314,5.5094943706e-314,5.21512295566807e-310,5.5093949725e-314,6.3659873724e-314,0.0,8.487983172e-314,5.5099630374e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511269513e-314,8.4879831644e-314,5.5094945683e-314,8.487983164e-314,5.5086215503e-314,2.6307492654e-314,0.0,4.24399159e-314,5.5099631717e-314,5.5112695485e-314,8.4879831644e-314,5.509494667e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112695604e-314,8.487983164e-314,5.509395684e-314,1.86e-321,6.3659873724e-314,5.509963306e-314,5.511269584e-314,8.4879831644e-314,5.509494766e-314,4.243991582e-314,5.5112696e-314,8.487983164e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(1.897e-321,4.243991586e-314,5.5099637093e-314,5.5112696196e-314,8.4879831644e-314,5.5094950623e-314,4.77457342013e-312,4.243991582e-314,5.5112696394e-314,0.0,8.0e-323,5.509963978e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,8.4879831644e-314,5.50949526e-314,4.243991689e-314,2.1837897157e-314,4.243991582e-314,0.0,8.487983172e-314,5.509964247e-314,5.511269691e-314,8.4879831644e-314,5.5094954576e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(8.487983164e-314,5.511104246e-314,5.5112698054e-314,0.0,4.24399159e-314,5.509964381e-314,5.5112697264e-314,8.4879831644e-314,6.3659873724e-314,5.511269738e-314,8.487983164e-314,4.62595084707e-312), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,2.121995799e-314,5.50996465e-314,5.511269762e-314,8.4879831644e-314,5.5096394836e-314,4.243991582e-314,5.5112697777e-314,8.487983164e-314,0.0,5.21501685587704e-310,5.5099647844e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112697975e-314,8.4879831644e-314,5.5096395825e-314,5.511270351e-314,4.795710487577e-312,5.5112698173e-314,2.33e-321,4.243991586e-314,5.509964919e-314,5.511269833e-314,8.4879831644e-314,5.5096396813e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.630816897e-314,5.5112699438e-314,4.243991582e-314,2.37e-321,8.487983168e-314,5.5099651875e-314,5.5112698687e-314,8.4879831644e-314,5.509639879e-314,8.487983164e-314,5.5110941315e-314,5.2150192075647e-310), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,4.24399159e-314,5.5099654563e-314,5.511269904e-314,8.4879831644e-314,5.5096400765e-314,5.511269916e-314,8.487983164e-314,5.511269987e-314,0.0,4.24399159e-314,5.509965725e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.51126994e-314,8.4879831644e-314,5.509640274e-314,4.243991582e-314,5.5112699556e-314,8.4879831644e-314,0.0,2.121995799e-314,6.3659873724e-314,5.5112699754e-314,8.4879831644e-314,5.509640472e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.2150192075647e-310,4.243991582e-314,5.511269995e-314,0.0,4.24399159e-314,5.5099662626e-314,5.511270011e-314,8.4879831644e-314,5.5096406694e-314,5.3049895145e-314,2.1219957915e-314,4.243991582e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,8.487983172e-314,5.509966397e-314,5.5112700465e-314,1.06099789543e-313,5.509640768e-314,5.5112699517e-314,5.511269588e-314,2.18374921e-314,2.806e-321,4.243991586e-314,5.5099665314e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511270082e-314,8.4879831644e-314,5.509640867e-314,4.775236543817e-312,5.5112700505e-314,5.5093954547e-314,2.846e-321,5.071569940447e-312,5.5099669345e-314,5.5112701177e-314,8.4879831644e-314,5.5096411635e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,NaN,1.69759663277e-313,3.28e-321,4.243991586e-314,5.5099672033e-314,5.511270153e-314,8.4879831644e-314,5.509641361e-314,2.1837517714e-314,5.51019711e-314,2.630694697e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,8.0e-323,5.509967472e-314,5.511270189e-314,8.4879831644e-314,5.5101457586e-314,0.0,0.0,-2.949574149437e-312,0.0,8.0e-323,5.5099676065e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112702244e-314,8.4879831644e-314,5.5101458575e-314,5.5101975367e-314,5.5112696236e-314,7.2911220195564e-304,0.0,5.21501685587704e-310,5.509967875e-314,5.51127026e-314,8.4879831644e-314,5.510146055e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.631021223e-314,4.64717596287e-312,5.5081700415e-314,0.0,6.3659873724e-314,5.5099680096e-314,5.5112702955e-314,8.4879831644e-314,5.510146154e-314,4.64717078222e-312,5.5081700415e-314,8.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,4.24399159e-314,5.509968144e-314,5.511270331e-314,8.4879831644e-314,5.5101462527e-314,4.778309726736485e-299,0.0,5.2150192078493e-310,3.32e-321,4.77449052971e-312,5.509968413e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,8.4879831644e-314,5.5101464503e-314,5.509917283e-314,5.5110926295e-314,5.5093954705e-314,3.755e-321,4.243991586e-314,5.5099686816e-314,5.511270402e-314,8.4879831644e-314,5.510146648e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(7.4e-323,0.0,2.630749064e-314,0.0,2.121995799e-314,5.5099689503e-314,5.511270438e-314,8.4879831644e-314,6.3659873724e-314,5.2150192075647e-310,4.243991582e-314,2.121995799e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,NaN,5.509969219e-314,5.5112704734e-314,8.4879831644e-314,5.510147043e-314,0.0,5.511270501e-314,4.778309726736484e-299,0.0,5.21501685587704e-310,5.509969488e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511270509e-314,8.4879831644e-314,5.510147241e-314,5.5112589597e-314,4.816930445486e-312,5.5081707055e-314,0.0,4.24399159e-314,5.5099696223e-314,5.5112705445e-314,8.4879831644e-314,5.5101473396e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(NaN,2.1219958226e-314,5.5081700217e-314,0.0,8.0e-323,5.5099697566e-314,5.51127058e-314,8.4879831644e-314,5.5101474385e-314,5.215019589764e-310,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,4.0e-323,5.50997016e-314,5.5112706157e-314,8.4879831644e-314,5.509654254e-314,2.122092929e-314,5.215019589764e-310,0.0,4.23e-321,4.0e-323,5.5099704286e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112706513e-314,8.4879831644e-314,5.509654452e-314,4.0e-323,2.1469600674e-314,5.215019589764e-310,0.0,8.0e-323,6.3659873724e-314,5.511270687e-314,8.4879831644e-314,5.5096546495e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.12199579097e-313,4.0e-323,NaN,0.0,8.0e-323,5.509970966e-314,5.5112707224e-314,8.4879831644e-314,5.509654847e-314,3.16e-322,2.12199579097e-313,4.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,5.21501685587704e-310,5.5099711005e-314,5.511270758e-314,1.06099789543e-313,5.509654946e-314,5.21501842472993e-310,3.56e-322,2.12199579097e-313,0.0,2.121995799e-314,5.509971235e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5112707935e-314,8.4879831644e-314,5.5096550447e-314,0.0,5.21501842472993e-310,3.95e-322,0.0,8.0e-323,5.5099713693e-314,5.511270829e-314,8.4879831644e-314,5.5096551435e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501842472993e-310,4.27e-321,2.12199579136e-313,5.509971638e-314,5.5112708647e-314,8.4879831644e-314,5.509655341e-314,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(4.704e-321,4.0e-323,5.509971907e-314,5.5112709003e-314,8.4879831644e-314,5.509655539e-314,0.0,0.0,2.1219957905e-314,0.0,5.21501685587704e-310,5.5099721756e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511270936e-314,8.4879831644e-314,5.5096557364e-314,5.215019589764e-310,0.0,0.0,0.0,8.0e-323,5.5099724444e-314,5.5112709714e-314,8.4879831644e-314,5.509655934e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.122092929e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,5.509972713e-314,5.511271007e-314,8.4879831644e-314,2.630655061e-314,4.0e-323,2.1469600674e-314,5.215019589764e-310), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,8.0e-323,5.5099728475e-314,5.5112710426e-314,8.4879831644e-314,2.6306551597e-314,2.12199579097e-313,4.0e-323,NaN,0.0,8.0e-323,5.509972982e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,8.4879831644e-314,2.6306552585e-314,6.7e-322,2.12199579097e-313,4.0e-323,4.743e-321,5.21501685587665e-310,5.5099731163e-314,5.5112711137e-314,8.4879831644e-314,2.6306553573e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842472993e-310,7.1e-322,2.12199579097e-313,4.783e-321,2.121995795e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,7.5e-322), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.12199579097e-313,4.0e-323,2.122092929e-314,5.215019589764e-310,0.0,0.0,0.0,0.0,5.21501842472993e-310,7.9e-322,2.12199579097e-313,4.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1469600674e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,8.3e-322,2.12199579097e-313,4.0e-323,NaN,5.215019589764e-310), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.21501842472993e-310,8.7e-322,2.12199579097e-313,4.0e-323,2.122092929e-314,5.215019589764e-310,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501842472993e-310,9.1e-322,2.12199579097e-313,4.0e-323,2.1469600674e-314,5.215019589764e-310,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842472993e-310,9.5e-322,2.12199579097e-313,4.0e-323,NaN,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,9.9e-322), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.12199579097e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0,0.0,0.0,5.21501842472993e-310,1.03e-321,2.12199579097e-313,4.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(3.38202793e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,1.067e-321,2.12199579097e-313,4.0e-323,3.38202793e-314,5.215019589764e-310), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.21501842472993e-310,1.107e-321,2.12199579097e-313,4.0e-323,NaN,5.215019589764e-310,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501842472993e-310,1.146e-321,2.12199579097e-313,4.0e-323,2.1469600674e-314,5.215019589764e-310,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842472993e-310,1.186e-321,2.12199579097e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,1.225e-321), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.12199579097e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0,0.0,0.0,5.21501842472993e-310,1.265e-321,2.12199579097e-313,5.0e-324), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1469600674e-314,5.215019589764e-310,0.0,0.0,2.1219957905e-314,0.0,5.21501842472993e-310,1.27e-321,2.12199579097e-313,5.0e-324,NaN,5.215019589764e-310), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.21501842472993e-310,1.304e-321,2.12199579097e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501842506195e-310,0.0,2.33419537006e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842725323e-310,0.0,0.0,4.0e-323,2.1220929287e-314,5.21501958973554e-310,0.0,0.0,2.1219957905e-314,0.0,5.2150175747054e-310,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,4.0e-323,NaN,0.0,0.0,0.0,0.0,0.0,5.2150172947441e-310,0.0,2.12199579097e-313,4.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.453530154163e-312,0.0,0.0,0.0,2.1219957905e-314,0.0,5.21501842316315e-310,0.0,3.062247015e-315,8.0e-323,2.1220929366e-314,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.2150184231157e-310,0.0,2.2142524967e-313,8.0e-323,3.38202793e-314,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501842316315e-310,8.0e-323,3.062247015e-315,4.0e-323,3.3820279375e-314,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.2150184231157e-310,8.0e-323,2.2142524967e-313,4.0e-323,2.122092929e-314,0.0,0.0,0.0,2.1219957905e-314,0.0,5.2150184237323e-310,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.46328909176e-313,4.0e-323,3.38202793e-314,5.215019589764e-310,0.0,0.0,0.0,0.0,5.2150172947014e-310,0.0,2.2510547178e-313,4.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.45377882554e-312,0.0,0.0,0.0,2.1219957905e-314,0.0,5.2150175751054e-310,0.0,0.0,1.0e-323,3.3820279375e-314,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.21501842472993e-310,1.265e-321,2.12199579097e-313,1.0e-323,3.38202793e-314,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.2150175750793e-310,0.0,0.0,8.0e-323,2.146960075e-314,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842472993e-310,1.146e-321,2.12199579097e-313,8.0e-323,2.122092929e-314,0.0,0.0,0.0,2.1219957905e-314,0.0,5.21501757505323e-310,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,8.0e-323,2.1220929366e-314,0.0,0.0,0.0,0.0,0.0,5.21501842472993e-310,1.03e-321,2.12199579097e-313,8.0e-323), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1469600674e-314,0.0,0.0,0.0,2.1219957905e-314,0.0,5.21501757502714e-310,0.0,0.0,8.0e-323,3.3820279375e-314,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(0.0,0.0,0.0,0.0,5.21501842472993e-310,9.1e-322,2.12199579097e-313,8.0e-323,3.38202793e-314,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.1219957905e-314,0.0,5.21501757500105e-310,0.0,0.0,8.0e-323,3.3820279375e-314,0.0,0.0,0.0,0.0,0.0), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.21501842472993e-310,7.9e-322,2.12199579097e-313,8.0e-323,2.122092929e-314,0.0,0.0,0.0,2.1219957905e-314,0.0,2.1219958226e-314,NaN), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.630777771e-314,NaN,5.508170338e-314,4.2439915854e-314,2.6308362763e-314,NaN,2.630838363e-314,4.243991613e-314,NaN,NaN,2.630835126e-314,4.2439916047e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.6308352605e-314,4.2439916056e-314,NaN,4.243991597e-314,NaN,NaN,5.5101967027e-314,2.121995802e-314,2.630836043e-314,NaN,NaN,NaN), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.630776783e-314,NaN,2.6308351933e-314,4.243991605e-314,2.6308361775e-314,NaN,2.630839383e-314,4.243991618e-314,5.510196505e-314,4.243991592e-314,NaN,2.6307461903e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(4.2439915814e-314,4.2439916175e-314,NaN,4.2439915913e-314,2.63077787e-314,2.121995836e-314,2.630838197e-314,NaN,2.630835395e-314,NaN,2.630836375e-314,4.2439916106e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.6307768817e-314,2.121995831e-314,2.630838296e-314,2.1219958216e-314,NaN,4.243991607e-314,NaN,NaN,6.3659873724e-314,4.2439915923e-314,5.508170437e-314,4.243991586e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.6308353277e-314,4.243991606e-314,2.6308379996e-314,NaN,2.630777937e-314,4.2439916274e-314,2.630839648e-314,2.1219958285e-314,NaN,NaN,5.510197916e-314,4.243991598e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(NaN,5.5112593233e-314,2.630834395e-314,NaN,4.2439915814e-314,2.1219958167e-314,5.5111740397e-314,4.243991583e-314,5.5081706344e-314,NaN,2.6308385964e-314,4.2439916145e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.5101969004e-314,2.121995803e-314,5.5081705356e-314,NaN,2.6308386636e-314,2.121995824e-314,5.5101978806e-314,4.2439915977e-314,2.630834462e-314,NaN,2.630835462e-314,NaN), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,NaN,NaN,NaN,5.508170733e-314,NaN,NaN,2.1219958053e-314,5.511174174e-314,4.243991582e-314,5.5101968015e-314,NaN), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.630839549e-314,2.121995828e-314,2.6308345293e-314,4.243991601e-314,2.630834628e-314,4.2439916017e-314,2.630777704e-314,NaN,4.2439915814e-314,4.2439916136e-314,2.630839482e-314,2.1219958275e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(5.511174107e-314,2.1219957915e-314,2.630777668e-314,4.2439916254e-314,2.630838529e-314,NaN,NaN,5.511105914e-314,2.6307772493e-314,4.2439916244e-314,NaN,NaN), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(NaN,2.1219958043e-314,NaN,4.2439915987e-314,4.2439915814e-314,2.121995811e-314,5.5101971336e-314,2.1219958043e-314,NaN,5.5110908153e-314,NaN,4.243991584e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(2.6307773165e-314,2.121995834e-314,5.5081708004e-314,4.243991588e-314,NaN,4.243991592e-314,NaN,2.1219958004e-314,2.630834731e-314,4.2439916027e-314,2.630839881e-314,4.243991621e-314), Dual{ForwardDiff.Tag{OptimizationProblems.ADNLPProblems.var"#f#382"{Int64}, Float64}}(6.3659873724e-314,4.243991596e-314,5.510198181e-314,NaN,NaN,4.2439915923e-314,5.510198082e-314,2.1219958083e-314,5.5081709664e-314,4.243991589e-314,2.630838731e-314,2.1219958246e-314)])), ADNLPModels.ForwardDiffADHvprod(), ADNLPModels.ForwardDiffADJprod(), ADNLPModels.ForwardDiffADJtprod(), ADNLPModels.ForwardDiffADJacobian(6664), ADNLPModels.ForwardDiffADHessian(4851), ADNLPModels.ForwardDiffADGHjvprod())
Problem name: hovercraft1d
All variables: ████████████████████ 98 All constraints: ████████████████████ 68
free: ████████████████████ 98 free: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
lower: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 lower: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
upper: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 upper: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 low/upp: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
fixed: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 fixed: ████████████████████ 68
infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 infeas: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzh: ( 0.00% sparsity) 4851 linear: ████████████████████ 68
nonlinear: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
nnzj: ( 0.00% sparsity) 6664
Counters:
obj: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 grad: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 cons: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
cons_lin: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 cons_nln: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jcon: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
jgrad: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jac: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jac_lin: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
jac_nln: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jprod: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jprod_lin: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
jprod_nln: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jtprod: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jtprod_lin: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
jtprod_nln: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 hess: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 hprod: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
jhess: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0 jhprod: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0
In a terminal window, the very long line results in many lines of gibberish.