{"action":"closed","number":204,"pull_request":{"url":"https://api.github.com/repos/JuliaOpt/Optim.jl/pulls/204","id":70987493,"html_url":"https://github.com/JuliaOpt/Optim.jl/pull/204","diff_url":"https://github.com/JuliaOpt/Optim.jl/pull/204.diff","patch_url":"https://github.com/JuliaOpt/Optim.jl/pull/204.patch","issue_url":"https://api.github.com/repos/JuliaOpt/Optim.jl/issues/204","number":204,"state":"closed","locked":false,"title":"Be more precise in Nelder-Mead trace, and parameterize OptimizationTr…","user":{"login":"pkofod","id":8431156,"avatar_url":"https://avatars.githubusercontent.com/u/8431156?v=3","gravatar_id":"","url":"https://api.github.com/users/pkofod","html_url":"https://github.com/pkofod","followers_url":"https://api.github.com/users/pkofod/followers","following_url":"https://api.github.com/users/pkofod/following{/other_user}","gists_url":"https://api.github.com/users/pkofod/gists{/gist_id}","starred_url":"https://api.github.com/users/pkofod/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pkofod/subscriptions","organizations_url":"https://api.github.com/users/pkofod/orgs","repos_url":"https://api.github.com/users/pkofod/repos","events_url":"https://api.github.com/users/pkofod/events{/privacy}","received_events_url":"https://api.github.com/users/pkofod/received_events","type":"User","site_admin":false},"body":"…ace and -State.\r\n\r\nI tried to incorporate the changes in the discussion at #103 as well \r\n\r\ncc: @RossBoylan\r\n\r\n```julia\r\njulia> using Optim;optimize(x->norm(x), ones(5), store_trace=true, show_trace=true)\r\nIter     Function value    √(Σ(yᵢ-ȳ)²)/n \r\n------   --------------    --------------\r\n     0     2.608746e+00      2.207592e-01\r\n     1     2.603630e+00      2.188867e-01\r\n     2     2.593573e+00      2.154431e-01\r\n     3     2.573748e+00      2.096538e-01\r\n     4     2.534441e+00      2.026813e-01\r\n     5     2.455575e+00      2.103304e-01\r\n     6     2.373705e+00      2.017193e-01\r\n     7     2.262772e+00      1.999988e-01\r\n     8     2.072805e+00      1.660393e-01\r\n     9     1.851332e+00      1.340977e-01\r\n    10     1.765791e+00      1.355637e-01\r\n    11     1.700057e+00      9.951675e-02\r\n    12     1.450361e+00      2.341322e-01\r\n    13     1.473631e+00      2.520523e-01\r\n    14     1.465401e+00      2.304264e-01\r\n    15     1.334437e+00      2.334655e-01\r\n    16     1.318551e+00      1.830338e-01\r\n    17     1.034732e+00      9.241708e-02\r\n    18     8.687672e-01      2.281495e-01\r\n    19     8.545542e-01      2.306546e-01\r\n    20     6.447097e-01      3.046828e-01\r\n    21     6.188468e-01      2.756793e-01\r\n    22     6.096703e-01      2.316833e-01\r\n    23     5.944688e-01      1.284531e-01\r\n    24     5.836505e-01      9.405747e-02\r\n    25     5.464633e-01      8.429483e-02\r\n    26     5.332271e-01      8.583493e-02\r\n    27     4.817876e-01      8.031246e-02\r\n    28     3.967678e-01      8.212595e-02\r\n    29     3.886988e-01      8.133767e-02\r\n    30     3.786623e-01      6.386580e-02\r\n    31     3.016385e-01      1.169288e-01\r\n    32     3.009312e-01      1.077943e-01\r\n    33     3.054845e-01      8.402907e-02\r\n    34     2.610887e-01      8.441531e-02\r\n    35     2.601148e-01      7.177879e-02\r\n    36     2.381159e-01      4.338794e-02\r\n    37     1.907760e-01      6.678838e-02\r\n    38     1.894602e-01      5.445716e-02\r\n    39     1.866686e-01      4.838264e-02\r\n    40     1.858284e-01      4.148189e-02\r\n    41     1.748598e-01      3.462310e-02\r\n    42     1.689443e-01      3.054649e-02\r\n    43     1.355638e-01      3.826250e-02\r\n    44     1.342778e-01      3.344692e-02\r\n    45     1.194338e-01      2.641231e-02\r\n    46     1.074276e-01      1.734331e-02\r\n    47     1.053116e-01      1.611002e-02\r\n    48     1.050166e-01      1.672581e-02\r\n    49     9.887826e-02      1.343188e-02\r\n    50     6.701181e-02      1.529420e-02\r\n    51     5.702986e-02      1.211931e-02\r\n    52     5.454394e-02      1.713009e-02\r\n    53     4.741016e-02      1.554007e-02\r\n    54     2.533131e-02      1.592449e-02\r\n    55     2.713496e-02      2.168401e-02\r\n    56     2.261157e-02      2.025589e-02\r\n    57     2.665113e-02      1.869676e-02\r\n    58     2.693095e-02      1.490017e-02\r\n    59     2.829945e-02      1.334074e-02\r\n    60     2.236928e-02      7.448714e-03\r\n    61     2.159746e-02      6.908987e-03\r\n    62     2.223926e-02      6.951546e-03\r\n    63     2.175359e-02      6.571728e-03\r\n    64     2.352515e-02      5.751625e-03\r\n    65     2.217019e-02      4.813017e-03\r\n    66     2.180857e-02      3.994862e-03\r\n    67     2.151301e-02      3.061341e-03\r\n    68     1.866098e-02      2.740289e-03\r\n    69     1.763078e-02      2.292992e-03\r\n    70     1.775878e-02      2.425431e-03\r\n    71     1.649697e-02      2.284964e-03\r\n    72     1.526114e-02      2.152229e-03\r\n    73     1.413077e-02      1.583871e-03\r\n    74     1.449674e-02      1.997921e-03\r\n    75     1.467030e-02      2.447256e-03\r\n    76     1.463985e-02      2.424913e-03\r\n    77     1.497330e-02      2.172389e-03\r\n    78     1.475193e-02      1.938729e-03\r\n    79     1.235963e-02      1.809450e-03\r\n    80     1.199556e-02      9.927729e-04\r\n    81     1.122146e-02      1.279169e-03\r\n    82     1.011294e-02      1.736674e-03\r\n    83     1.022138e-02      1.653271e-03\r\n    84     9.931509e-03      1.279969e-03\r\n    85     8.824596e-03      1.665810e-03\r\n    86     8.030106e-03      1.254585e-03\r\n    87     8.026497e-03      1.084255e-03\r\n    88     7.661899e-03      9.887261e-04\r\n    89     6.747628e-03      1.321539e-03\r\n    90     6.252059e-03      1.122577e-03\r\n    91     6.428732e-03      1.045696e-03\r\n    92     6.381501e-03      9.018413e-04\r\n    93     5.588337e-03      1.205349e-03\r\n    94     5.536112e-03      1.001862e-03\r\n    95     5.323676e-03      7.522214e-04\r\n    96     5.230764e-03      6.828794e-04\r\n    97     5.216537e-03      6.563039e-04\r\n    98     5.192221e-03      5.778510e-04\r\n    99     4.863144e-03      4.902064e-04\r\n   100     4.511871e-03      4.520976e-04\r\n   101     3.894154e-03      6.766961e-04\r\n   102     3.587445e-03      6.293722e-04\r\n   103     3.303484e-03      4.651422e-04\r\n   104     3.349325e-03      4.805238e-04\r\n   105     2.503554e-03      8.137588e-04\r\n   106     2.563395e-03      7.763587e-04\r\n   107     2.469851e-03      6.603502e-04\r\n   108     2.119004e-03      5.102756e-04\r\n   109     2.143676e-03      4.600468e-04\r\n   110     1.950325e-03      3.029891e-04\r\n   111     1.480082e-03      3.397311e-04\r\n   112     1.449189e-03      3.244020e-04\r\n   113     1.186411e-03      3.312727e-04\r\n   114     9.768306e-04      2.684505e-04\r\n   115     7.665895e-04      1.563950e-04\r\n   116     8.823117e-04      4.207476e-04\r\n   117     9.150652e-04      4.570621e-04\r\n   118     8.897833e-04      4.308174e-04\r\n   119     8.097642e-04      3.980242e-04\r\n   120     8.442368e-04      3.716082e-04\r\n   121     6.517327e-04      2.854014e-04\r\n   122     6.271120e-04      1.547924e-04\r\n   123     6.286000e-04      1.464649e-04\r\n   124     6.210347e-04      1.436243e-04\r\n   125     4.588211e-04      1.527222e-04\r\n   126     4.488113e-04      1.614839e-04\r\n   127     4.980920e-04      1.668213e-04\r\n   128     4.447785e-04      1.190435e-04\r\n   129     4.145174e-04      9.975414e-05\r\n   130     3.512881e-04      7.385897e-05\r\n   131     3.292319e-04      7.478268e-05\r\n   132     3.142192e-04      7.777448e-05\r\n   133     2.965470e-04      6.756835e-05\r\n   134     3.235146e-04      9.069134e-05\r\n   135     3.184885e-04      7.965912e-05\r\n   136     3.144462e-04      6.090641e-05\r\n   137     3.153751e-04      4.189557e-05\r\n   138     3.111709e-04      3.342154e-05\r\n   139     2.829760e-04      3.886977e-05\r\n   140     2.562652e-04      4.311398e-05\r\n   141     2.333157e-04      3.649058e-05\r\n   142     2.298411e-04      3.077173e-05\r\n   143     2.275912e-04      1.984136e-05\r\n   144     2.095895e-04      1.577240e-05\r\n   145     2.107855e-04      1.973540e-05\r\n   146     2.112376e-04      1.874782e-05\r\n   147     2.104040e-04      1.685926e-05\r\n   148     2.125284e-04      1.429233e-05\r\n   149     1.861885e-04      3.779969e-05\r\n   150     1.866582e-04      3.611833e-05\r\n   151     1.744176e-04      3.789359e-05\r\n   152     1.613400e-04      3.608538e-05\r\n   153     1.431262e-04      3.396834e-05\r\n   154     1.207341e-04      2.871405e-05\r\n   155     7.853946e-05      2.332061e-05\r\n   156     5.550378e-05      2.644383e-05\r\n   157     4.324770e-05      2.229461e-05\r\n   158     4.493154e-05      2.120506e-05\r\n   159     2.733428e-05      1.425631e-05\r\n   160     3.180407e-05      1.470961e-05\r\n   161     2.908904e-05      1.362417e-05\r\n   162     3.351497e-05      1.584961e-05\r\n   163     3.044089e-05      1.307854e-05\r\n   164     2.900173e-05      1.160210e-05\r\n   165     1.911163e-05      7.993650e-06\r\n   166     1.988369e-05      5.580044e-06\r\n   167     1.925099e-05      6.931664e-06\r\n   168     2.028923e-05      7.829046e-06\r\n   169     2.039300e-05      6.729799e-06\r\n   170     1.389639e-05      4.941326e-06\r\n   171     1.443271e-05      3.644877e-06\r\n   172     1.424072e-05      3.294426e-06\r\n   173     1.435224e-05      3.256964e-06\r\n   174     1.149557e-05      2.977775e-06\r\n   175     9.662237e-06      2.251881e-06\r\n   176     9.891445e-06      2.314475e-06\r\n   177     8.698658e-06      2.087137e-06\r\n   178     9.070144e-06      2.786678e-06\r\n   179     6.413310e-06      2.702986e-06\r\n   180     6.741101e-06      2.762380e-06\r\n   181     6.719323e-06      2.426427e-06\r\n   182     6.745424e-06      1.383048e-06\r\n   183     5.231857e-06      1.060646e-06\r\n   184     5.460544e-06      1.413520e-06\r\n   185     5.316602e-06      1.174432e-06\r\n   186     4.846035e-06      1.032702e-06\r\n   187     4.888733e-06      1.026656e-06\r\n   188     4.330144e-06      6.676623e-07\r\n   189     4.448423e-06      8.887981e-07\r\n   190     4.523326e-06      8.324896e-07\r\n   191     3.787305e-06      1.114767e-06\r\n   192     3.544591e-06      9.060256e-07\r\n   193     3.510537e-06      7.399991e-07\r\n   194     3.358444e-06      5.448776e-07\r\n   195     3.363079e-06      4.600800e-07\r\n   196     2.975632e-06      4.502688e-07\r\n   197     2.954189e-06      4.031131e-07\r\n   198     2.388567e-06      3.588694e-07\r\n   199     1.955823e-06      5.698689e-07\r\n   200     1.475574e-06      5.949252e-07\r\n   201     1.258122e-06      5.200085e-07\r\n   202     5.468568e-07      5.116312e-07\r\n   203     4.372755e-07      5.390408e-07\r\n   204     5.249768e-07      5.122185e-07\r\n   205     4.646561e-07      2.850519e-07\r\n   206     5.422841e-07      3.530940e-07\r\n   207     2.924841e-07      2.893760e-07\r\n   208     2.740287e-07      2.838025e-07\r\n   209     2.855774e-07      2.876101e-07\r\n   210     2.233524e-07      2.515969e-07\r\n   211     2.117829e-07      1.924954e-07\r\n   212     2.137848e-07      1.006516e-07\r\n   213     2.478022e-07      1.435411e-07\r\n   214     2.421687e-07      1.324759e-07\r\n   215     2.293124e-07      1.235323e-07\r\n   216     2.161933e-07      9.621875e-08\r\n   217     2.127288e-07      6.973015e-08\r\n   218     2.153397e-07      3.941721e-08\r\n   219     2.097774e-07      4.247856e-08\r\n   220     1.946782e-07      3.563195e-08\r\n   221     1.677192e-07      3.090780e-08\r\n   222     1.771817e-07      4.712165e-08\r\n   223     1.781746e-07      4.721509e-08\r\n   224     1.808112e-07      4.108837e-08\r\n   225     1.776210e-07      3.534840e-08\r\n   226     1.785730e-07      2.541834e-08\r\n   227     1.592875e-07      8.907139e-09\r\nResults of Optimization Algorithm\r\n * Algorithm: Nelder-Mead\r\n * Starting Point: [1.0,1.0,1.0,1.0,1.0]\r\n * Minimizer: [-4.988949343973662e-8,7.797331450324614e-8, ...]\r\n * Minimum: 0.000000\r\n * Iterations: 227\r\n * Convergence: true\r\n   *  √(Σ(yᵢ-ȳ)²)/n < 1.0e-08: true\r\n   * Reached Maximum Number of Iterations: false\r\n * Objective Function Calls: 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