NLPModelsIpopt

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Results with Julia v1.2.0

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 Resolving package versions...
 Installed DataAPI ───────────────────── v1.1.0
 Installed Missings ──────────────────── v0.4.3
 Installed FastClosures ──────────────── v0.3.2
 Installed TableTraits ───────────────── v1.0.0
 Installed CommonSubexpressions ──────── v0.2.0
 Installed NLPModelsIpopt ────────────── v0.3.0
 Installed BinaryProvider ────────────── v0.5.8
 Installed DataFrames ────────────────── v0.19.4
 Installed URIParser ─────────────────── v0.4.0
 Installed DataValueInterfaces ───────── v1.0.0
 Installed PooledArrays ──────────────── v0.5.2
 Installed InvertedIndices ───────────── v1.0.0
 Installed Compat ────────────────────── v2.2.0
 Installed Reexport ──────────────────── v0.2.0
 Installed ForwardDiff ───────────────── v0.10.7
 Installed TimerOutputs ──────────────── v0.5.3
 Installed Tables ────────────────────── v0.2.11
 Installed OrderedCollections ────────── v1.1.0
 Installed MathProgBase ──────────────── v0.7.7
 Installed Parsers ───────────────────── v0.3.10
 Installed DataStructures ────────────── v0.17.6
 Installed DiffRules ─────────────────── v0.1.0
 Installed NLPModels ─────────────────── v0.10.0
 Installed JSON ──────────────────────── v0.21.0
 Installed StaticArrays ──────────────── v0.12.1
 Installed NaNMath ───────────────────── v0.3.3
 Installed LinearOperators ───────────── v0.7.1
 Installed DiffResults ───────────────── v0.0.4
 Installed BenchmarkTools ────────────── v0.4.3
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed MathOptInterface ──────────── v0.9.7
 Installed CategoricalArrays ─────────── v0.7.3
 Installed SortingAlgorithms ─────────── v0.3.1
 Installed BinDeps ───────────────────── v0.8.10
 Installed SolverTools ───────────────── v0.1.7
 Installed SpecialFunctions ──────────── v0.8.0
 Installed Ipopt ─────────────────────── v0.6.1
  Updating `~/.julia/environments/v1.2/Project.toml`
  [f4238b75] + NLPModelsIpopt v0.3.0
  Updating `~/.julia/environments/v1.2/Manifest.toml`
  [6e4b80f9] + BenchmarkTools v0.4.3
  [9e28174c] + BinDeps v0.8.10
  [b99e7846] + BinaryProvider v0.5.8
  [324d7699] + CategoricalArrays v0.7.3
  [bbf7d656] + CommonSubexpressions v0.2.0
  [34da2185] + Compat v2.2.0
  [9a962f9c] + DataAPI v1.1.0
  [a93c6f00] + DataFrames v0.19.4
  [864edb3b] + DataStructures v0.17.6
  [e2d170a0] + DataValueInterfaces v1.0.0
  [163ba53b] + DiffResults v0.0.4
  [b552c78f] + DiffRules v0.1.0
  [9aa1b823] + FastClosures v0.3.2
  [f6369f11] + ForwardDiff v0.10.7
  [41ab1584] + InvertedIndices v1.0.0
  [b6b21f68] + Ipopt v0.6.1
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [682c06a0] + JSON v0.21.0
  [5c8ed15e] + LinearOperators v0.7.1
  [b8f27783] + MathOptInterface v0.9.7
  [fdba3010] + MathProgBase v0.7.7
  [e1d29d7a] + Missings v0.4.3
  [a4795742] + NLPModels v0.10.0
  [f4238b75] + NLPModelsIpopt v0.3.0
  [77ba4419] + NaNMath v0.3.3
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [2dfb63ee] + PooledArrays v0.5.2
  [189a3867] + Reexport v0.2.0
  [b5612192] + SolverTools v0.1.7
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.8.0
  [90137ffa] + StaticArrays v0.12.1
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v0.2.11
  [a759f4b9] + TimerOutputs v0.5.3
  [30578b45] + URIParser v0.4.0
  [2a0f44e3] + Base64 
  [ade2ca70] + Dates 
  [8bb1440f] + DelimitedFiles 
  [8ba89e20] + Distributed 
  [9fa8497b] + Future 
  [b77e0a4c] + InteractiveUtils 
  [76f85450] + LibGit2 
  [8f399da3] + Libdl 
  [37e2e46d] + LinearAlgebra 
  [56ddb016] + Logging 
  [d6f4376e] + Markdown 
  [a63ad114] + Mmap 
  [44cfe95a] + Pkg 
  [de0858da] + Printf 
  [3fa0cd96] + REPL 
  [9a3f8284] + Random 
  [ea8e919c] + SHA 
  [9e88b42a] + Serialization 
  [1a1011a3] + SharedArrays 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
  Building Ipopt ───────────→ `~/.julia/packages/Ipopt/ruIXY/deps/build.log`
   Testing NLPModelsIpopt
    Status `/tmp/jl_sE5KX7/Manifest.toml`
  [6e4b80f9] BenchmarkTools v0.4.3
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.8
  [324d7699] CategoricalArrays v0.7.3
  [bbf7d656] CommonSubexpressions v0.2.0
  [34da2185] Compat v2.2.0
  [9a962f9c] DataAPI v1.1.0
  [a93c6f00] DataFrames v0.19.4
  [864edb3b] DataStructures v0.17.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [163ba53b] DiffResults v0.0.4
  [b552c78f] DiffRules v0.1.0
  [9aa1b823] FastClosures v0.3.2
  [f6369f11] ForwardDiff v0.10.7
  [41ab1584] InvertedIndices v1.0.0
  [b6b21f68] Ipopt v0.6.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [682c06a0] JSON v0.21.0
  [5c8ed15e] LinearOperators v0.7.1
  [b8f27783] MathOptInterface v0.9.7
  [fdba3010] MathProgBase v0.7.7
  [e1d29d7a] Missings v0.4.3
  [a4795742] NLPModels v0.10.0
  [f4238b75] NLPModelsIpopt v0.3.0
  [77ba4419] NaNMath v0.3.3
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [2dfb63ee] PooledArrays v0.5.2
  [189a3867] Reexport v0.2.0
  [b5612192] SolverTools v0.1.7
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.8.0
  [90137ffa] StaticArrays v0.12.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [a759f4b9] TimerOutputs v0.5.3
  [30578b45] URIParser v0.4.0
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      2.529
Total CPU secs in NLP function evaluations           =      0.835

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      0.313
Total CPU secs in NLP function evaluations           =      0.079

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.3288608e-28 0.00e+00 2.02e-13  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   9.5312500000000000e-01    9.5312500000000000e-01
Dual infeasibility......:   1.2500000000000000e+01    1.2500000000000000e+01
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   1.2500000000000000e+01    1.2500000000000000e+01


Number of objective function evaluations             = 8
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.329
Total CPU secs in NLP function evaluations           =      0.084

EXIT: Stopping optimization at current point as requested by user.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  3.7000000e+01 1.00e+00 1.10e+01  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  7.2000000e+00 0.00e+00 8.88e-16  -1.0 2.40e+00    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.853
Total CPU secs in NLP function evaluations           =      1.332

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  7.2000000e+00 0.00e+00 8.88e-16  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 1
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 1
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
   Testing NLPModelsIpopt tests passed 

Results with Julia v1.3.0

Testing was successful. Last evaluation was ago and took 4 minutes, 34 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed SortingAlgorithms ─────────── v0.3.1
 Installed FastClosures ──────────────── v0.3.2
 Installed DiffResults ───────────────── v0.0.4
 Installed NLPModelsIpopt ────────────── v0.3.0
 Installed Ipopt ─────────────────────── v0.6.1
 Installed LinearOperators ───────────── v0.7.1
 Installed DataStructures ────────────── v0.17.6
 Installed SolverTools ───────────────── v0.1.7
 Installed Compat ────────────────────── v2.2.0
 Installed InvertedIndices ───────────── v1.0.0
 Installed BinaryProvider ────────────── v0.5.8
 Installed StaticArrays ──────────────── v0.12.1
 Installed CategoricalArrays ─────────── v0.7.3
 Installed Parsers ───────────────────── v0.3.10
 Installed Missings ──────────────────── v0.4.3
 Installed NLPModels ─────────────────── v0.10.0
 Installed TableTraits ───────────────── v1.0.0
 Installed TimerOutputs ──────────────── v0.5.3
 Installed SpecialFunctions ──────────── v0.9.0
 Installed CommonSubexpressions ──────── v0.2.0
 Installed JSON ──────────────────────── v0.21.0
 Installed OrderedCollections ────────── v1.1.0
 Installed MathOptInterface ──────────── v0.9.7
 Installed DataAPI ───────────────────── v1.1.0
 Installed Tables ────────────────────── v0.2.11
 Installed ForwardDiff ───────────────── v0.10.7
 Installed NaNMath ───────────────────── v0.3.3
 Installed MathProgBase ──────────────── v0.7.7
 Installed OpenSpecFun_jll ───────────── v0.5.3+1
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed DataValueInterfaces ───────── v1.0.0
 Installed DiffRules ─────────────────── v0.1.0
 Installed PooledArrays ──────────────── v0.5.2
 Installed DataFrames ────────────────── v0.19.4
 Installed Reexport ──────────────────── v0.2.0
 Installed BenchmarkTools ────────────── v0.4.3
  Updating `~/.julia/environments/v1.3/Project.toml`
  [f4238b75] + NLPModelsIpopt v0.3.0
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [6e4b80f9] + BenchmarkTools v0.4.3
  [b99e7846] + BinaryProvider v0.5.8
  [324d7699] + CategoricalArrays v0.7.3
  [bbf7d656] + CommonSubexpressions v0.2.0
  [34da2185] + Compat v2.2.0
  [9a962f9c] + DataAPI v1.1.0
  [a93c6f00] + DataFrames v0.19.4
  [864edb3b] + DataStructures v0.17.6
  [e2d170a0] + DataValueInterfaces v1.0.0
  [163ba53b] + DiffResults v0.0.4
  [b552c78f] + DiffRules v0.1.0
  [9aa1b823] + FastClosures v0.3.2
  [f6369f11] + ForwardDiff v0.10.7
  [41ab1584] + InvertedIndices v1.0.0
  [b6b21f68] + Ipopt v0.6.1
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [682c06a0] + JSON v0.21.0
  [5c8ed15e] + LinearOperators v0.7.1
  [b8f27783] + MathOptInterface v0.9.7
  [fdba3010] + MathProgBase v0.7.7
  [e1d29d7a] + Missings v0.4.3
  [a4795742] + NLPModels v0.10.0
  [f4238b75] + NLPModelsIpopt v0.3.0
  [77ba4419] + NaNMath v0.3.3
  [efe28fd5] + OpenSpecFun_jll v0.5.3+1
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [2dfb63ee] + PooledArrays v0.5.2
  [189a3867] + Reexport v0.2.0
  [b5612192] + SolverTools v0.1.7
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.9.0
  [90137ffa] + StaticArrays v0.12.1
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v0.2.11
  [a759f4b9] + TimerOutputs v0.5.3
  [2a0f44e3] + Base64 
  [ade2ca70] + Dates 
  [8bb1440f] + DelimitedFiles 
  [8ba89e20] + Distributed 
  [9fa8497b] + Future 
  [b77e0a4c] + InteractiveUtils 
  [76f85450] + LibGit2 
  [8f399da3] + Libdl 
  [37e2e46d] + LinearAlgebra 
  [56ddb016] + Logging 
  [d6f4376e] + Markdown 
  [a63ad114] + Mmap 
  [44cfe95a] + Pkg 
  [de0858da] + Printf 
  [3fa0cd96] + REPL 
  [9a3f8284] + Random 
  [ea8e919c] + SHA 
  [9e88b42a] + Serialization 
  [1a1011a3] + SharedArrays 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building Ipopt → `~/.julia/packages/Ipopt/ruIXY/deps/build.log`
   Testing NLPModelsIpopt
    Status `/tmp/jl_5WpYhE/Manifest.toml`
  [6e4b80f9] BenchmarkTools v0.4.3
  [b99e7846] BinaryProvider v0.5.8
  [324d7699] CategoricalArrays v0.7.3
  [bbf7d656] CommonSubexpressions v0.2.0
  [34da2185] Compat v2.2.0
  [9a962f9c] DataAPI v1.1.0
  [a93c6f00] DataFrames v0.19.4
  [864edb3b] DataStructures v0.17.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [163ba53b] DiffResults v0.0.4
  [b552c78f] DiffRules v0.1.0
  [9aa1b823] FastClosures v0.3.2
  [f6369f11] ForwardDiff v0.10.7
  [41ab1584] InvertedIndices v1.0.0
  [b6b21f68] Ipopt v0.6.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [682c06a0] JSON v0.21.0
  [5c8ed15e] LinearOperators v0.7.1
  [b8f27783] MathOptInterface v0.9.7
  [fdba3010] MathProgBase v0.7.7
  [e1d29d7a] Missings v0.4.3
  [a4795742] NLPModels v0.10.0
  [f4238b75] NLPModelsIpopt v0.3.0
  [77ba4419] NaNMath v0.3.3
  [efe28fd5] OpenSpecFun_jll v0.5.3+1
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [2dfb63ee] PooledArrays v0.5.2
  [189a3867] Reexport v0.2.0
  [b5612192] SolverTools v0.1.7
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.9.0
  [90137ffa] StaticArrays v0.12.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [a759f4b9] TimerOutputs v0.5.3
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      2.892
Total CPU secs in NLP function evaluations           =      0.787

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      0.278
Total CPU secs in NLP function evaluations           =      0.047

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.3288608e-28 0.00e+00 2.02e-13  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   9.5312500000000000e-01    9.5312500000000000e-01
Dual infeasibility......:   1.2500000000000000e+01    1.2500000000000000e+01
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   1.2500000000000000e+01    1.2500000000000000e+01


Number of objective function evaluations             = 8
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.292
Total CPU secs in NLP function evaluations           =      0.043

EXIT: Stopping optimization at current point as requested by user.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  3.7000000e+01 1.00e+00 1.10e+01  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  7.2000000e+00 0.00e+00 8.88e-16  -1.0 2.40e+00    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.793
Total CPU secs in NLP function evaluations           =      1.168

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  7.2000000e+00 0.00e+00 8.88e-16  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 1
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 1
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
   Testing NLPModelsIpopt tests passed 

Results with Julia v1.3.1-pre-7704df0a5a

Testing was successful. Last evaluation was ago and took 4 minutes, 9 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed Tables ────────────────────── v0.2.11
 Installed OpenSpecFun_jll ───────────── v0.5.3+1
 Installed NaNMath ───────────────────── v0.3.3
 Installed NLPModelsIpopt ────────────── v0.3.0
 Installed NLPModels ─────────────────── v0.10.0
 Installed SpecialFunctions ──────────── v0.9.0
 Installed DataStructures ────────────── v0.17.6
 Installed DataFrames ────────────────── v0.19.4
 Installed BenchmarkTools ────────────── v0.4.3
 Installed StaticArrays ──────────────── v0.12.1
 Installed LinearOperators ───────────── v0.7.1
 Installed DiffResults ───────────────── v0.0.4
 Installed Missings ──────────────────── v0.4.3
 Installed TableTraits ───────────────── v1.0.0
 Installed Compat ────────────────────── v2.2.0
 Installed ForwardDiff ───────────────── v0.10.7
 Installed CommonSubexpressions ──────── v0.2.0
 Installed PooledArrays ──────────────── v0.5.2
 Installed BinaryProvider ────────────── v0.5.8
 Installed MathOptInterface ──────────── v0.9.7
 Installed FastClosures ──────────────── v0.3.2
 Installed DiffRules ─────────────────── v0.1.0
 Installed InvertedIndices ───────────── v1.0.0
 Installed DataValueInterfaces ───────── v1.0.0
 Installed SolverTools ───────────────── v0.1.7
 Installed MathProgBase ──────────────── v0.7.7
 Installed Reexport ──────────────────── v0.2.0
 Installed IteratorInterfaceExtensions ─ v1.0.0
 Installed CategoricalArrays ─────────── v0.7.3
 Installed DataAPI ───────────────────── v1.1.0
 Installed Parsers ───────────────────── v0.3.10
 Installed JSON ──────────────────────── v0.21.0
 Installed TimerOutputs ──────────────── v0.5.3
 Installed Ipopt ─────────────────────── v0.6.1
 Installed OrderedCollections ────────── v1.1.0
 Installed SortingAlgorithms ─────────── v0.3.1
  Updating `~/.julia/environments/v1.3/Project.toml`
  [f4238b75] + NLPModelsIpopt v0.3.0
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [6e4b80f9] + BenchmarkTools v0.4.3
  [b99e7846] + BinaryProvider v0.5.8
  [324d7699] + CategoricalArrays v0.7.3
  [bbf7d656] + CommonSubexpressions v0.2.0
  [34da2185] + Compat v2.2.0
  [9a962f9c] + DataAPI v1.1.0
  [a93c6f00] + DataFrames v0.19.4
  [864edb3b] + DataStructures v0.17.6
  [e2d170a0] + DataValueInterfaces v1.0.0
  [163ba53b] + DiffResults v0.0.4
  [b552c78f] + DiffRules v0.1.0
  [9aa1b823] + FastClosures v0.3.2
  [f6369f11] + ForwardDiff v0.10.7
  [41ab1584] + InvertedIndices v1.0.0
  [b6b21f68] + Ipopt v0.6.1
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [682c06a0] + JSON v0.21.0
  [5c8ed15e] + LinearOperators v0.7.1
  [b8f27783] + MathOptInterface v0.9.7
  [fdba3010] + MathProgBase v0.7.7
  [e1d29d7a] + Missings v0.4.3
  [a4795742] + NLPModels v0.10.0
  [f4238b75] + NLPModelsIpopt v0.3.0
  [77ba4419] + NaNMath v0.3.3
  [efe28fd5] + OpenSpecFun_jll v0.5.3+1
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [2dfb63ee] + PooledArrays v0.5.2
  [189a3867] + Reexport v0.2.0
  [b5612192] + SolverTools v0.1.7
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.9.0
  [90137ffa] + StaticArrays v0.12.1
  [3783bdb8] + TableTraits v1.0.0
  [bd369af6] + Tables v0.2.11
  [a759f4b9] + TimerOutputs v0.5.3
  [2a0f44e3] + Base64 
  [ade2ca70] + Dates 
  [8bb1440f] + DelimitedFiles 
  [8ba89e20] + Distributed 
  [9fa8497b] + Future 
  [b77e0a4c] + InteractiveUtils 
  [76f85450] + LibGit2 
  [8f399da3] + Libdl 
  [37e2e46d] + LinearAlgebra 
  [56ddb016] + Logging 
  [d6f4376e] + Markdown 
  [a63ad114] + Mmap 
  [44cfe95a] + Pkg 
  [de0858da] + Printf 
  [3fa0cd96] + REPL 
  [9a3f8284] + Random 
  [ea8e919c] + SHA 
  [9e88b42a] + Serialization 
  [1a1011a3] + SharedArrays 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building Ipopt → `~/.julia/packages/Ipopt/ruIXY/deps/build.log`
   Testing NLPModelsIpopt
    Status `/tmp/jl_3E8UL0/Manifest.toml`
  [6e4b80f9] BenchmarkTools v0.4.3
  [b99e7846] BinaryProvider v0.5.8
  [324d7699] CategoricalArrays v0.7.3
  [bbf7d656] CommonSubexpressions v0.2.0
  [34da2185] Compat v2.2.0
  [9a962f9c] DataAPI v1.1.0
  [a93c6f00] DataFrames v0.19.4
  [864edb3b] DataStructures v0.17.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [163ba53b] DiffResults v0.0.4
  [b552c78f] DiffRules v0.1.0
  [9aa1b823] FastClosures v0.3.2
  [f6369f11] ForwardDiff v0.10.7
  [41ab1584] InvertedIndices v1.0.0
  [b6b21f68] Ipopt v0.6.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [682c06a0] JSON v0.21.0
  [5c8ed15e] LinearOperators v0.7.1
  [b8f27783] MathOptInterface v0.9.7
  [fdba3010] MathProgBase v0.7.7
  [e1d29d7a] Missings v0.4.3
  [a4795742] NLPModels v0.10.0
  [f4238b75] NLPModelsIpopt v0.3.0
  [77ba4419] NaNMath v0.3.3
  [efe28fd5] OpenSpecFun_jll v0.5.3+1
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [2dfb63ee] PooledArrays v0.5.2
  [189a3867] Reexport v0.2.0
  [b5612192] SolverTools v0.1.7
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.9.0
  [90137ffa] StaticArrays v0.12.1
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v0.2.11
  [a759f4b9] TimerOutputs v0.5.3
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [9fa8497b] Future  [`@stdlib/Future`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      2.550
Total CPU secs in NLP function evaluations           =      0.746

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3
   2  4.8320569e-01 0.00e+00 1.01e+00  -1.0 9.03e-02    -  1.00e+00 1.00e+00f  1
   3  4.5708829e-01 0.00e+00 9.53e+00  -1.0 4.29e-01    -  1.00e+00 5.00e-01f  2
   4  1.8894205e-01 0.00e+00 4.15e-01  -1.0 9.51e-02    -  1.00e+00 1.00e+00f  1
   5  1.3918726e-01 0.00e+00 6.51e+00  -1.7 3.49e-01    -  1.00e+00 5.00e-01f  2
   6  5.4940990e-02 0.00e+00 4.51e-01  -1.7 9.29e-02    -  1.00e+00 1.00e+00f  1
   7  2.9144630e-02 0.00e+00 2.27e+00  -1.7 2.49e-01    -  1.00e+00 5.00e-01f  2
   8  9.8586451e-03 0.00e+00 1.15e+00  -1.7 1.10e-01    -  1.00e+00 1.00e+00f  1
   9  2.3237475e-03 0.00e+00 1.00e+00  -1.7 1.00e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.3797236e-04 0.00e+00 2.19e-01  -1.7 5.09e-02    -  1.00e+00 1.00e+00f  1
  11  4.9267371e-06 0.00e+00 5.95e-02  -1.7 2.53e-02    -  1.00e+00 1.00e+00f  1
  12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
  13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
  14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 14

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 36
Number of objective gradient evaluations             = 15
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 14
Total CPU secs in IPOPT (w/o function evaluations)   =      0.294
Total CPU secs in NLP function evaluations           =      0.044

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.3288608e-28 0.00e+00 2.02e-13  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
Dual infeasibility......:   2.0183854587685121e-13    2.0183854587685121e-13
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   2.0183854587685121e-13    2.0183854587685121e-13


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  1.0000000e+00 0.00e+00 2.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  9.5312500e-01 0.00e+00 1.25e+01  -1.0 1.00e+00    -  1.00e+00 2.50e-01f  3

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   9.5312500000000000e-01    9.5312500000000000e-01
Dual infeasibility......:   1.2500000000000000e+01    1.2500000000000000e+01
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   1.2500000000000000e+01    1.2500000000000000e+01


Number of objective function evaluations             = 8
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 0
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.269
Total CPU secs in NLP function evaluations           =      0.040

EXIT: Stopping optimization at current point as requested by user.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  3.7000000e+01 1.00e+00 1.10e+01  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  7.2000000e+00 0.00e+00 8.88e-16  -1.0 2.40e+00    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.695
Total CPU secs in NLP function evaluations           =      0.981

EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        2
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        3

Total number of variables............................:        2
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        1
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  7.2000000e+00 0.00e+00 8.88e-16  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0

Number of Iterations....: 0

                                   (scaled)                 (unscaled)
Objective...............:   7.2000000000000002e+00    7.2000000000000002e+00
Dual infeasibility......:   8.8817841970012523e-16    8.8817841970012523e-16
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   8.8817841970012523e-16    8.8817841970012523e-16


Number of objective function evaluations             = 1
Number of objective gradient evaluations             = 1
Number of equality constraint evaluations            = 1
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 1
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.000
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.
   Testing NLPModelsIpopt tests passed