Changeset 5090


Ignore:
Timestamp:
10/13/11 17:46:00 (3 years ago)
Author:
jwatson
Message:

Updating some PySP baselines due to prior commit.

Location:
coopr.pysp/trunk/coopr/pysp/tests/unit
Files:
2 edited

Legend:

Unmodified
Added
Removed
  • coopr.pysp/trunk/coopr/pysp/tests/unit/farmer_quadratic_with_bundles_cplex_with_pyro.baseline

    r5083 r5090  
    22Name server listening on: ('0.0.0.0', 9090) 
    33Broadcast server listening on: ('255.255.255.255', 9090) 
    4 URI is: PYRO://134.253.243.125:9090/86fdf37d32c61eb19e50abad11bff58f4c 
    5 URI written to: /home/jwatson/sp/coopr/src/coopr.pysp/coopr/pysp/tests/unit/Pyro_NS_URI 
     4URI is: PYRO://134.253.243.125:9090/86fdf37d0ed11eb32863c727df7f45980c 
     5URI written to: /home/jwatson/sp/coopr/src/Pyro_NS_URI 
    66Name Server started. 
    77Dispatcher is ready. 
     8Finding Pyro dispatcher object... 
     9Dispatcher Object URI: PYRO://134.253.243.125:7766/86fdf37d0ed21eb32863ccd4e0c29ef19b 
     10This is client 3796@sleipnir.sandia.gov 
    811Finding Pyro object... 
    9 Object URI: PYRO://134.253.243.125:7766/86fdf37d32c71eb19e50b8a48c1b2d83f2 
    10 This is worker Worker_13000@sleipnir.sandia.gov 
     12Object URI: PYRO://134.253.243.125:7766/86fdf37d0ed21eb32863ccd4e0c29ef19b 
     13This is worker Worker_3795@sleipnir.sandia.gov 
    1114Getting work from dispatcher. 
    12 Finding Pyro dispatcher object... 
    13 Dispatcher Object URI: PYRO://134.253.243.125:7766/86fdf37d32c71eb19e50b8a48c1b2d83f2 
    14 This is client 13001@sleipnir.sandia.gov 
    1515Starting PH 
    1616Initiating PH iteration=0 
    17 2011-10-10 17:33:35.101271: Applying solver=cplex to solve problem=/tmp/tmpa_MkSv.tmpdF65BA.pyomo.lp 
    18 2011-10-10 17:33:35.116534: Solve completed - number of solutions=1 
    19 2011-10-10 17:33:35.119710: Applying solver=cplex to solve problem=/tmp/tmpJRS9dE.tmpctZpDw.pyomo.lp 
    20 2011-10-10 17:33:35.132745: Solve completed - number of solutions=1 
     172011-10-13 17:17:55.660861: Applying solver=cplex to solve problem=/tmp/tmpZFXo5c.tmppGhjU3.pyomo.lp 
     182011-10-13 17:17:56.072469: Solve completed - number of solutions=1 
     192011-10-13 17:17:56.077547: Applying solver=cplex to solve problem=/tmp/tmp_30dRo.tmp8mJZDF.pyomo.lp 
     202011-10-13 17:17:56.469284: Solve completed - number of solutions=1 
    2121Convergence metric=      0.2663  First stage cost avg= 112016.6667  Max-Min= 9350.00 
    2222Initiating PH iteration=1 
    23 2011-10-10 17:33:35.151300: Applying solver=cplex to solve problem=/tmp/tmpofvLCq.tmpQ4je2e.pyomo.lp 
    24 2011-10-10 17:33:35.166772: Solve completed - number of solutions=1 
    25 2011-10-10 17:33:35.170001: Applying solver=cplex to solve problem=/tmp/tmp2hdtca.tmpwdrmvh.pyomo.lp 
    26 2011-10-10 17:33:35.185232: Solve completed - number of solutions=1 
     232011-10-13 17:17:56.504779: Applying solver=cplex to solve problem=/tmp/tmpP6MI4y.tmpjWFhLP.pyomo.lp 
     242011-10-13 17:17:56.532587: Solve completed - number of solutions=1 
     252011-10-13 17:17:56.538176: Applying solver=cplex to solve problem=/tmp/tmpafZeKt.tmpdCbUp6.pyomo.lp 
     262011-10-13 17:17:56.558263: Solve completed - number of solutions=1 
    2727Convergence metric=      0.0612  First stage cost avg= 111376.6666  Max-Min= 2067.50 
    2828Initiating PH iteration=2 
    29 2011-10-10 17:33:35.203315: Applying solver=cplex to solve problem=/tmp/tmpkC64B4.tmpGU_AyD.pyomo.lp 
    30 2011-10-10 17:33:35.218658: Solve completed - number of solutions=1 
    31 2011-10-10 17:33:35.222078: Applying solver=cplex to solve problem=/tmp/tmpqfAHdr.tmp6w3SNm.pyomo.lp 
    32 2011-10-10 17:33:35.237702: Solve completed - number of solutions=1 
     292011-10-13 17:17:56.578947: Applying solver=cplex to solve problem=/tmp/tmpQTNykz.tmpYbddle.pyomo.lp 
     302011-10-13 17:17:56.739011: Solve completed - number of solutions=1 
     312011-10-13 17:17:56.744377: Applying solver=cplex to solve problem=/tmp/tmpKBgGw3.tmpunnDZ_.pyomo.lp 
     322011-10-13 17:17:56.786834: Solve completed - number of solutions=1 
    3333Convergence metric=      0.0494  First stage cost avg= 110111.6666  Max-Min=  500.00 
    3434Initiating PH iteration=3 
    35 2011-10-10 17:33:35.256418: Applying solver=cplex to solve problem=/tmp/tmpYQw8rw.tmprcntwW.pyomo.lp 
    36 2011-10-10 17:33:35.269545: Solve completed - number of solutions=1 
    37 2011-10-10 17:33:35.272865: Applying solver=cplex to solve problem=/tmp/tmpzBmPHT.tmpEg8SfW.pyomo.lp 
    38 2011-10-10 17:33:35.286963: Solve completed - number of solutions=1 
     352011-10-13 17:17:56.807013: Applying solver=cplex to solve problem=/tmp/tmpfEHw7v.tmpRKCnYu.pyomo.lp 
     362011-10-13 17:17:56.837604: Solve completed - number of solutions=1 
     372011-10-13 17:17:56.843740: Applying solver=cplex to solve problem=/tmp/tmpLxl4q2.tmpQ7I8If.pyomo.lp 
     382011-10-13 17:17:58.435244: Solve completed - number of solutions=1 
    3939Convergence metric=      0.0485  First stage cost avg= 108993.3336  Max-Min=  280.00 
    4040Initiating PH iteration=4 
    41 2011-10-10 17:33:35.305370: Applying solver=cplex to solve problem=/tmp/tmpnGa_V1.tmpyHrnbN.pyomo.lp 
    42 2011-10-10 17:33:35.320753: Solve completed - number of solutions=1 
    43 2011-10-10 17:33:35.323939: Applying solver=cplex to solve problem=/tmp/tmpztGuCQ.tmpyCfHAq.pyomo.lp 
    44 2011-10-10 17:33:35.339046: Solve completed - number of solutions=1 
     412011-10-13 17:17:58.469848: Applying solver=cplex to solve problem=/tmp/tmp79dOrt.tmpa5b9zU.pyomo.lp 
     422011-10-13 17:17:58.484663: Solve completed - number of solutions=1 
     432011-10-13 17:17:58.488135: Applying solver=cplex to solve problem=/tmp/tmp2gmewJ.tmp1NmHIC.pyomo.lp 
     442011-10-13 17:17:58.503027: Solve completed - number of solutions=1 
    4545Convergence metric=      0.0437  First stage cost avg= 108647.2224  Max-Min=  758.33 
    4646Initiating PH iteration=5 
    47 2011-10-10 17:33:35.357358: Applying solver=cplex to solve problem=/tmp/tmpeAlXVQ.tmppmnYn6.pyomo.lp 
    48 2011-10-10 17:33:35.372341: Solve completed - number of solutions=1 
    49 2011-10-10 17:33:35.375546: Applying solver=cplex to solve problem=/tmp/tmpBglfwq.tmpP7vgZs.pyomo.lp 
    50 2011-10-10 17:33:35.389619: Solve completed - number of solutions=1 
     472011-10-13 17:17:58.521882: Applying solver=cplex to solve problem=/tmp/tmpJSuUOc.tmpkyRg27.pyomo.lp 
     482011-10-13 17:17:58.537194: Solve completed - number of solutions=1 
     492011-10-13 17:17:58.541717: Applying solver=cplex to solve problem=/tmp/tmpU33GT9.tmpDI3eY2.pyomo.lp 
     502011-10-13 17:17:58.558151: Solve completed - number of solutions=1 
    5151Convergence metric=      0.0178  First stage cost avg= 108700.3705  Max-Min=  598.89 
    5252Initiating PH iteration=6 
    53 2011-10-10 17:33:35.408253: Applying solver=cplex to solve problem=/tmp/tmpEuv50M.tmpjT3ukd.pyomo.lp 
    54 2011-10-10 17:33:35.423123: Solve completed - number of solutions=1 
    55 2011-10-10 17:33:35.426794: Applying solver=cplex to solve problem=/tmp/tmp5EH8L6.tmpVZlAER.pyomo.lp 
    56 2011-10-10 17:33:35.439542: Solve completed - number of solutions=1 
     532011-10-13 17:17:58.577924: Applying solver=cplex to solve problem=/tmp/tmp6LIzHS.tmpQiGxkk.pyomo.lp 
     542011-10-13 17:17:59.975509: Solve completed - number of solutions=1 
     552011-10-13 17:17:59.979645: Applying solver=cplex to solve problem=/tmp/tmpSCq1b3.tmpEee5aZ.pyomo.lp 
     562011-10-13 17:17:59.998328: Solve completed - number of solutions=1 
    5757Convergence metric=      0.0068  First stage cost avg= 108851.1731  Max-Min=  146.48 
    5858Initiating PH iteration=7 
    59 2011-10-10 17:33:35.457392: Applying solver=cplex to solve problem=/tmp/tmpdJjZkB.tmptpMZex.pyomo.lp 
    60 2011-10-10 17:33:35.472905: Solve completed - number of solutions=1 
    61 2011-10-10 17:33:35.476456: Applying solver=cplex to solve problem=/tmp/tmprxtFkk.tmpUix4ho.pyomo.lp 
    62 2011-10-10 17:33:35.492095: Solve completed - number of solutions=1 
     592011-10-13 17:18:00.018005: Applying solver=cplex to solve problem=/tmp/tmppg984h.tmppVTCdp.pyomo.lp 
     602011-10-13 17:18:00.306737: Solve completed - number of solutions=1 
     612011-10-13 17:18:00.311371: Applying solver=cplex to solve problem=/tmp/tmpbDvVjY.tmp5ojvhP.pyomo.lp 
     622011-10-13 17:18:00.704266: Solve completed - number of solutions=1 
    6363Convergence metric=      0.0082  First stage cost avg= 108933.9920  Max-Min=  101.98 
    6464Initiating PH iteration=8 
    65 2011-10-10 17:33:35.510461: Applying solver=cplex to solve problem=/tmp/tmp7kZFsD.tmpF0Qw2c.pyomo.lp 
    66 2011-10-10 17:33:35.523777: Solve completed - number of solutions=1 
    67 2011-10-10 17:33:35.527181: Applying solver=cplex to solve problem=/tmp/tmpf7d9ZS.tmpjv6rGb.pyomo.lp 
    68 2011-10-10 17:33:35.543098: Solve completed - number of solutions=1 
     652011-10-13 17:18:00.723023: Applying solver=cplex to solve problem=/tmp/tmpcmx7B8.tmpgLhXi0.pyomo.lp 
     662011-10-13 17:18:00.737435: Solve completed - number of solutions=1 
     672011-10-13 17:18:00.741034: Applying solver=cplex to solve problem=/tmp/tmpA1ySrh.tmp9WUxOK.pyomo.lp 
     682011-10-13 17:18:00.756502: Solve completed - number of solutions=1 
    6969Convergence metric=      0.0044  First stage cost avg= 108938.9370  Max-Min=  116.81 
    7070Initiating PH iteration=9 
    71 2011-10-10 17:33:35.562458: Applying solver=cplex to solve problem=/tmp/tmprwCC4i.tmpzJSLKt.pyomo.lp 
    72 2011-10-10 17:33:35.575446: Solve completed - number of solutions=1 
    73 2011-10-10 17:33:35.578800: Applying solver=cplex to solve problem=/tmp/tmpGOpmSv.tmpmjryC6.pyomo.lp 
    74 2011-10-10 17:33:35.594675: Solve completed - number of solutions=1 
     712011-10-13 17:18:00.775026: Applying solver=cplex to solve problem=/tmp/tmpYbEK5g.tmp9Dr3ov.pyomo.lp 
     722011-10-13 17:18:00.790403: Solve completed - number of solutions=1 
     732011-10-13 17:18:00.793840: Applying solver=cplex to solve problem=/tmp/tmpGNxyEL.tmpxShMz6.pyomo.lp 
     742011-10-13 17:18:00.812179: Solve completed - number of solutions=1 
    7575Convergence metric=      0.0009  First stage cost avg= 108914.6274  Max-Min=   43.88 
    7676Initiating PH iteration=10 
    77 2011-10-10 17:33:35.613455: Applying solver=cplex to solve problem=/tmp/tmpUa6RJO.tmpeQYq5f.pyomo.lp 
    78 2011-10-10 17:33:35.626540: Solve completed - number of solutions=1 
    79 2011-10-10 17:33:35.630059: Applying solver=cplex to solve problem=/tmp/tmpXsd86J.tmp5bB6MR.pyomo.lp 
    80 2011-10-10 17:33:35.647024: Solve completed - number of solutions=1 
     772011-10-13 17:18:00.830834: Applying solver=cplex to solve problem=/tmp/tmp08xKNu.tmp0kd9iA.pyomo.lp 
     782011-10-13 17:18:00.847106: Solve completed - number of solutions=1 
     792011-10-13 17:18:00.850532: Applying solver=cplex to solve problem=/tmp/tmpzhJhhM.tmpfjNGeT.pyomo.lp 
     802011-10-13 17:18:00.864796: Solve completed - number of solutions=1 
    8181Convergence metric=      0.0014  First stage cost avg= 108896.7727  Max-Min=    9.68 
    8282Initiating PH iteration=11 
    83 2011-10-10 17:33:35.665384: Applying solver=cplex to solve problem=/tmp/tmpdW0oZ_.tmpCJkLsc.pyomo.lp 
    84 2011-10-10 17:33:35.679117: Solve completed - number of solutions=1 
    85 2011-10-10 17:33:35.682711: Applying solver=cplex to solve problem=/tmp/tmp6omfEw.tmp75H2tF.pyomo.lp 
    86 2011-10-10 17:33:35.698049: Solve completed - number of solutions=1 
     832011-10-13 17:18:00.882845: Applying solver=cplex to solve problem=/tmp/tmpYC5A8m.tmp7iLm3i.pyomo.lp 
     842011-10-13 17:18:00.898384: Solve completed - number of solutions=1 
     852011-10-13 17:18:00.902193: Applying solver=cplex to solve problem=/tmp/tmpCvjBF2.tmpZAp8Df.pyomo.lp 
     862011-10-13 17:18:00.917449: Solve completed - number of solutions=1 
    8787Convergence metric=      0.0009  First stage cost avg= 108892.9728  Max-Min=   21.08 
    8888Initiating PH iteration=12 
    89 2011-10-10 17:33:35.716381: Applying solver=cplex to solve problem=/tmp/tmpXXTt5f.tmpDrpKFj.pyomo.lp 
    90 2011-10-10 17:33:35.731125: Solve completed - number of solutions=1 
    91 2011-10-10 17:33:35.734794: Applying solver=cplex to solve problem=/tmp/tmpOequQ0.tmpVWHEhE.pyomo.lp 
    92 2011-10-10 17:33:35.748432: Solve completed - number of solutions=1 
     892011-10-13 17:18:00.938108: Applying solver=cplex to solve problem=/tmp/tmpUfun0m.tmpzW8cIY.pyomo.lp 
     902011-10-13 17:18:00.954280: Solve completed - number of solutions=1 
     912011-10-13 17:18:00.957580: Applying solver=cplex to solve problem=/tmp/tmpIz3Ett.tmpGQqX2A.pyomo.lp 
     922011-10-13 17:18:00.972000: Solve completed - number of solutions=1 
    9393Convergence metric=      0.0002  First stage cost avg= 108896.3911  Max-Min=   10.83 
    9494Initiating PH iteration=13 
    95 2011-10-10 17:33:35.766388: Applying solver=cplex to solve problem=/tmp/tmpNua8oB.tmpq36HxV.pyomo.lp 
    96 2011-10-10 17:33:35.783702: Solve completed - number of solutions=1 
    97 2011-10-10 17:33:35.787214: Applying solver=cplex to solve problem=/tmp/tmpuY0GhD.tmp6MTl3b.pyomo.lp 
    98 2011-10-10 17:33:35.802171: Solve completed - number of solutions=1 
     952011-10-13 17:18:00.989807: Applying solver=cplex to solve problem=/tmp/tmp895S5_.tmpqZXKmh.pyomo.lp 
     962011-10-13 17:18:01.003237: Solve completed - number of solutions=1 
     972011-10-13 17:18:01.006567: Applying solver=cplex to solve problem=/tmp/tmpqQNzv5.tmpjjG7wS.pyomo.lp 
     982011-10-13 17:18:01.021487: Solve completed - number of solutions=1 
    9999Convergence metric=      0.0002  First stage cost avg= 108899.9365  Max-Min=    0.19 
    100100Initiating PH iteration=14 
    101 2011-10-10 17:33:35.820400: Applying solver=cplex to solve problem=/tmp/tmpcujUsW.tmptV6VbN.pyomo.lp 
    102 2011-10-10 17:33:35.833610: Solve completed - number of solutions=1 
    103 2011-10-10 17:33:35.837030: Applying solver=cplex to solve problem=/tmp/tmpLLoDne.tmp5WejFg.pyomo.lp 
    104 2011-10-10 17:33:35.852044: Solve completed - number of solutions=1 
     1012011-10-13 17:18:01.039848: Applying solver=cplex to solve problem=/tmp/tmpvi_EiL.tmpAjTdvz.pyomo.lp 
     1022011-10-13 17:18:01.055297: Solve completed - number of solutions=1 
     1032011-10-13 17:18:01.058499: Applying solver=cplex to solve problem=/tmp/tmpkYtBLA.tmpquY7dw.pyomo.lp 
     1042011-10-13 17:18:01.074304: Solve completed - number of solutions=1 
    105105Convergence metric=      0.0002  First stage cost avg= 108901.1608  Max-Min=    3.48 
    106106Initiating PH iteration=15 
    107 2011-10-10 17:33:35.870488: Applying solver=cplex to solve problem=/tmp/tmpLvaTQR.tmpZ3OkXG.pyomo.lp 
    108 2011-10-10 17:33:35.884972: Solve completed - number of solutions=1 
    109 2011-10-10 17:33:35.888708: Applying solver=cplex to solve problem=/tmp/tmpc_fWec.tmpw8G3oU.pyomo.lp 
    110 2011-10-10 17:33:35.903076: Solve completed - number of solutions=1 
     1072011-10-13 17:18:01.092024: Applying solver=cplex to solve problem=/tmp/tmp7H1Ixj.tmpE8dJy8.pyomo.lp 
     1082011-10-13 17:18:01.108025: Solve completed - number of solutions=1 
     1092011-10-13 17:18:01.111589: Applying solver=cplex to solve problem=/tmp/tmp59iKao.tmpw70xFe.pyomo.lp 
     1102011-10-13 17:18:01.131952: Solve completed - number of solutions=1 
    111111Convergence metric=      0.0001  First stage cost avg= 108900.7951  Max-Min=    2.38 
    112112PH converged - convergence metric is below threshold=0.0001 
     
    236236---------------------------------------------------- 
    237237 
    238 Total PH execution time=0.89 seconds 
    239  
    240 Total execution time=0.89 seconds 
     238Total PH execution time=5.57 seconds 
     239 
     240Total execution time=5.57 seconds 
    241241Shutting down Pyro solver components 
    242242Dispatcher received request to shut down - initiating... 
  • coopr.pysp/trunk/coopr/pysp/tests/unit/sizes3_quadratic_cplex.baseline

    r5036 r5090  
    1212Convergence metric=      0.1617  First stage cost avg= 163361.6211  Max-Min=  488.95 
    1313Initiating PH iteration=3 
    14 Convergence metric=      0.0644  First stage cost avg= 163123.9867  Max-Min=   51.24 
     14Convergence metric=      0.0644  First stage cost avg= 163124.2672  Max-Min=   52.08 
    1515Initiating PH iteration=4 
    16 Convergence metric=      0.0349  First stage cost avg= 163064.0195  Max-Min=  484.54 
     16Convergence metric=      0.0348  First stage cost avg= 163064.2861  Max-Min=  485.36 
    1717Initiating PH iteration=5 
    18 Convergence metric=      0.0963  First stage cost avg= 163077.7904  Max-Min=  198.89 
     18Convergence metric=      0.0963  First stage cost avg= 163078.0363  Max-Min=  199.67 
    1919Initiating PH iteration=6 
    20 Convergence metric=      0.0103  First stage cost avg= 163096.1915  Max-Min=  218.64 
     20Convergence metric=      0.0103  First stage cost avg= 163096.1915  Max-Min=  217.09 
    2121Initiating PH iteration=7 
    22 Convergence metric=      0.0072  First stage cost avg= 163062.5973  Max-Min=  347.39 
     22Convergence metric=      0.0072  First stage cost avg= 163061.8147  Max-Min=  347.41 
    2323Initiating PH iteration=8 
    24 Convergence metric=      0.0067  First stage cost avg= 163032.8037  Max-Min=  347.39 
     24Convergence metric=      0.0067  First stage cost avg= 163031.9968  Max-Min=  347.41 
    2525Initiating PH iteration=9 
    26 Convergence metric=      0.0084  First stage cost avg= 163106.9261  Max-Min=  442.01 
     26Convergence metric=      0.0084  First stage cost avg= 163105.2699  Max-Min=  442.72 
    2727Initiating PH iteration=10 
    28 Convergence metric=      0.0082  First stage cost avg= 163166.2779  Max-Min=  442.01 
     28Convergence metric=      0.0082  First stage cost avg= 163164.3107  Max-Min=  442.72 
    2929Initiating PH iteration=11 
    30 Convergence metric=      0.0289  First stage cost avg= 163165.0451  Max-Min=  216.78 
     30Convergence metric=      0.0289  First stage cost avg= 163147.8483  Max-Min=  218.33 
    3131Initiating PH iteration=12 
    32 Convergence metric=      0.0265  First stage cost avg= 163117.6877  Max-Min=  137.61 
     32Convergence metric=      0.0266  First stage cost avg= 163110.2488  Max-Min=  151.54 
    3333Initiating PH iteration=13 
    34 Convergence metric=      0.0021  First stage cost avg= 163060.3715  Max-Min=   59.93 
     34Convergence metric=      0.0024  First stage cost avg= 163060.9955  Max-Min=   63.15 
    3535Initiating PH iteration=14 
    36 Convergence metric=      0.0116  First stage cost avg= 163092.9773  Max-Min=  182.33 
     36Convergence metric=      0.0136  First stage cost avg= 163090.1176  Max-Min=  157.29 
    3737Initiating PH iteration=15 
    38 Convergence metric=      0.0113  First stage cost avg= 163132.6195  Max-Min=  101.81 
     38Convergence metric=      0.0133  First stage cost avg= 163125.1301  Max-Min=   84.48 
    3939Initiating PH iteration=16 
    40 Convergence metric=      0.0072  First stage cost avg= 163148.0832  Max-Min=  101.81 
     40Convergence metric=      0.0101  First stage cost avg= 163138.5592  Max-Min=   84.48 
    4141Initiating PH iteration=17 
    42 Convergence metric=      0.0103  First stage cost avg= 163242.1216  Max-Min=  210.01 
     42Convergence metric=      0.0136  First stage cost avg= 163232.7933  Max-Min=  210.18 
    4343Initiating PH iteration=18 
    44 Convergence metric=      0.0101  First stage cost avg= 163299.5835  Max-Min=  186.66 
     44Convergence metric=      0.0096  First stage cost avg= 163286.8157  Max-Min=  198.22 
    4545Initiating PH iteration=19 
    4646Fixing variable=ProduceSizeFirstStage[2] at tree node=RootNode to value=0; converged for 20 iterations 
     
    4949Fixing variable=ProduceSizeFirstStage[5] at tree node=RootNode to value=1; converged for 20 iterations 
    5050Fixing variable=ProduceSizeFirstStage[6] at tree node=RootNode to value=1; converged for 20 iterations 
    51 Convergence metric=      0.0106  First stage cost avg= 163306.4408  Max-Min=  186.66 
     51Convergence metric=      0.0096  First stage cost avg= 163293.3968  Max-Min=  198.22 
    5252Initiating PH iteration=20 
    5353Fixing variable=ProduceSizeFirstStage[7] at tree node=RootNode to value=1; converged for 20 iterations 
    54 Convergence metric=      0.0546  First stage cost avg= 163366.8888  Max-Min=  100.73 
     54Convergence metric=      0.0721  First stage cost avg= 163367.2589  Max-Min=  132.94 
    5555Initiating PH iteration=21 
    5656Fixing variable=ProduceSizeFirstStage[8] at tree node=RootNode to value=1; converged for 20 iterations 
    5757Fixing variable=ProduceSizeFirstStage[9] at tree node=RootNode to value=1; converged for 20 iterations 
    58 Convergence metric=      0.0366  First stage cost avg= 163403.9117  Max-Min=   51.03 
     58Convergence metric=      0.0551  First stage cost avg= 163411.6765  Max-Min=   70.81 
    5959Initiating PH iteration=22 
    60 Convergence metric=      0.0362  First stage cost avg= 163413.0187  Max-Min=   66.44 
     60Convergence metric=      0.0539  First stage cost avg= 163420.7272  Max-Min=   86.92 
    6161Initiating PH iteration=23 
    62 Convergence metric=      0.0361  First stage cost avg= 163406.9957  Max-Min=   49.58 
     62Convergence metric=      0.0538  First stage cost avg= 163412.2253  Max-Min=   68.48 
    6363Initiating PH iteration=24 
    64 Convergence metric=      0.0360  First stage cost avg= 163400.0997  Max-Min=   49.58 
     64Convergence metric=      0.0537  First stage cost avg= 163403.1640  Max-Min=   68.48 
    6565Initiating PH iteration=25 
    66 Convergence metric=      0.0004  First stage cost avg= 163367.9464  Max-Min=   55.29 
     66Convergence metric=      0.0182  First stage cost avg= 163362.1296  Max-Min=   71.17 
    6767Initiating PH iteration=26 
    68 Convergence metric=      0.0003  First stage cost avg= 163345.8459  Max-Min=   47.75 
     68Convergence metric=      0.0181  First stage cost avg= 163333.9725  Max-Min=   57.05 
    6969Initiating PH iteration=27 
    70 Convergence metric=      0.0004  First stage cost avg= 163336.7637  Max-Min=   61.36 
     70Convergence metric=      0.0182  First stage cost avg= 163324.5787  Max-Min=   69.90 
    7171Initiating PH iteration=28 
    72 Convergence metric=      0.0004  First stage cost avg= 163340.1747  Max-Min=   56.65 
     72Convergence metric=      0.0181  First stage cost avg= 163329.6485  Max-Min=   64.29 
    7373Initiating PH iteration=29 
    7474Fixing variable=NumProducedFirstStage[1] at tree node=RootNode to value=0; converged for 30 iterations 
    7575Fixing variable=NumProducedFirstStage[2] at tree node=RootNode to value=0; converged for 30 iterations 
    7676Fixing variable=NumProducedFirstStage[4] at tree node=RootNode to value=0; converged for 30 iterations 
    77 Convergence metric=      0.0002  First stage cost avg= 163349.9803  Max-Min=   42.33 
     77Convergence metric=      0.0180  First stage cost avg= 163341.9755  Max-Min=   47.50 
    7878Initiating PH iteration=30 
    79 Convergence metric=      0.0000  First stage cost avg= 163360.8664  Max-Min=   24.82 
    80 PH converged - convergence metric is below threshold=0.0001 or all discrete variables are fixed 
     79Convergence metric=      0.0178  First stage cost avg= 163355.9216  Max-Min=   24.09 
     80Initiating PH iteration=31 
     81Convergence metric=      0.0179  First stage cost avg= 163366.0997  Max-Min=    9.15 
     82Initiating PH iteration=32 
     83Convergence metric=      0.0179  First stage cost avg= 163370.4045  Max-Min=   10.80 
     84Initiating PH iteration=33 
     85Convergence metric=      0.0179  First stage cost avg= 163369.3205  Max-Min=   10.84 
     86Initiating PH iteration=34 
     87Convergence metric=      0.0179  First stage cost avg= 163365.0349  Max-Min=   10.44 
     88Initiating PH iteration=35 
     89Convergence metric=      0.0191  First stage cost avg= 163327.5123  Max-Min=   91.23 
     90Initiating PH iteration=36 
     91Convergence metric=      0.0107  First stage cost avg= 163315.1352  Max-Min=  116.66 
     92Initiating PH iteration=37 
     93Convergence metric=      0.0096  First stage cost avg= 163319.7184  Max-Min=  116.66 
     94Initiating PH iteration=38 
     95Convergence metric=      0.0821  First stage cost avg= 163339.9272  Max-Min=  154.91 
     96Initiating PH iteration=39 
     97Fixing variable=NumUnitsCutFirstStage[7,3] at tree node=RootNode to value=0; converged for 40 iterations 
     98Fixing variable=NumUnitsCutFirstStage[9,1] at tree node=RootNode to value=0; converged for 40 iterations 
     99Fixing variable=NumUnitsCutFirstStage[9,8] at tree node=RootNode to value=0; converged for 40 iterations 
     100Fixing variable=NumUnitsCutFirstStage[2,1] at tree node=RootNode to value=0; converged for 40 iterations 
     101Fixing variable=NumUnitsCutFirstStage[6,2] at tree node=RootNode to value=0; converged for 40 iterations 
     102Fixing variable=NumUnitsCutFirstStage[5,1] at tree node=RootNode to value=0; converged for 40 iterations 
     103Fixing variable=NumUnitsCutFirstStage[7,2] at tree node=RootNode to value=0; converged for 40 iterations 
     104Fixing variable=NumUnitsCutFirstStage[3,3] at tree node=RootNode to value=12500; converged for 40 iterations 
     105Fixing variable=NumUnitsCutFirstStage[8,1] at tree node=RootNode to value=0; converged for 40 iterations 
     106Fixing variable=NumUnitsCutFirstStage[10,3] at tree node=RootNode to value=0; converged for 40 iterations 
     107Fixing variable=NumUnitsCutFirstStage[7,6] at tree node=RootNode to value=0; converged for 40 iterations 
     108Fixing variable=NumUnitsCutFirstStage[4,4] at tree node=RootNode to value=0; converged for 40 iterations 
     109Fixing variable=NumUnitsCutFirstStage[6,3] at tree node=RootNode to value=0; converged for 40 iterations 
     110Fixing variable=NumUnitsCutFirstStage[2,2] at tree node=RootNode to value=0; converged for 40 iterations 
     111Fixing variable=NumUnitsCutFirstStage[10,1] at tree node=RootNode to value=0; converged for 40 iterations 
     112Fixing variable=NumUnitsCutFirstStage[8,6] at tree node=RootNode to value=0; converged for 40 iterations 
     113Fixing variable=NumUnitsCutFirstStage[5,3] at tree node=RootNode to value=0; converged for 40 iterations 
     114Fixing variable=NumUnitsCutFirstStage[4,1] at tree node=RootNode to value=0; converged for 40 iterations 
     115Fixing variable=NumUnitsCutFirstStage[1,1] at tree node=RootNode to value=0; converged for 40 iterations 
     116Fixing variable=NumUnitsCutFirstStage[9,7] at tree node=RootNode to value=0; converged for 40 iterations 
     117Fixing variable=NumUnitsCutFirstStage[3,2] at tree node=RootNode to value=7500; converged for 40 iterations 
     118Fixing variable=NumUnitsCutFirstStage[8,2] at tree node=RootNode to value=0; converged for 40 iterations 
     119Fixing variable=NumUnitsCutFirstStage[7,1] at tree node=RootNode to value=0; converged for 40 iterations 
     120Fixing variable=NumUnitsCutFirstStage[9,3] at tree node=RootNode to value=0; converged for 40 iterations 
     121Fixing variable=NumUnitsCutFirstStage[8,3] at tree node=RootNode to value=0; converged for 40 iterations 
     122Fixing variable=NumUnitsCutFirstStage[4,2] at tree node=RootNode to value=0; converged for 40 iterations 
     123Fixing variable=NumUnitsCutFirstStage[9,6] at tree node=RootNode to value=0; converged for 40 iterations 
     124Fixing variable=NumUnitsCutFirstStage[10,10] at tree node=RootNode to value=5000; converged for 40 iterations 
     125Fixing variable=NumUnitsCutFirstStage[9,2] at tree node=RootNode to value=0; converged for 40 iterations 
     126Fixing variable=NumUnitsCutFirstStage[6,1] at tree node=RootNode to value=0; converged for 40 iterations 
     127Fixing variable=NumUnitsCutFirstStage[3,1] at tree node=RootNode to value=2500; converged for 40 iterations 
     128Fixing variable=NumUnitsCutFirstStage[10,7] at tree node=RootNode to value=0; converged for 40 iterations 
     129Fixing variable=NumUnitsCutFirstStage[4,3] at tree node=RootNode to value=0; converged for 40 iterations 
     130Fixing variable=NumUnitsCutFirstStage[9,5] at tree node=RootNode to value=0; converged for 40 iterations 
     131Fixing variable=NumUnitsCutFirstStage[10,2] at tree node=RootNode to value=0; converged for 40 iterations 
     132Fixing variable=NumUnitsCutFirstStage[5,2] at tree node=RootNode to value=0; converged for 40 iterations 
     133Convergence metric=      0.0818  First stage cost avg= 163351.6539  Max-Min=  154.91 
     134Initiating PH iteration=40 
     135Convergence metric=      0.0902  First stage cost avg= 163438.3821  Max-Min=  170.15 
     136Halting PH - reached maximal iteration count=40 
    81137PH complete 
    82138Convergence history: 
     
    86142     2             0.1617 
    87143     3             0.0644 
    88      4             0.0349 
     144     4             0.0348 
    89145     5             0.0963 
    90146     6             0.0103 
     
    94150    10             0.0082 
    95151    11             0.0289 
    96     12             0.0265 
    97     13             0.0021 
    98     14             0.0116 
    99     15             0.0113 
    100     16             0.0072 
    101     17             0.0103 
    102     18             0.0101 
    103     19             0.0106 
    104     20             0.0546 
    105     21             0.0366 
    106     22             0.0362 
    107     23             0.0361 
    108     24             0.0360 
    109     25             0.0004 
    110     26             0.0003 
    111     27             0.0004 
    112     28             0.0004 
    113     29             0.0002 
    114     30             0.0000 
     152    12             0.0266 
     153    13             0.0024 
     154    14             0.0136 
     155    15             0.0133 
     156    16             0.0101 
     157    17             0.0136 
     158    18             0.0096 
     159    19             0.0096 
     160    20             0.0721 
     161    21             0.0551 
     162    22             0.0539 
     163    23             0.0538 
     164    24             0.0537 
     165    25             0.0182 
     166    26             0.0181 
     167    27             0.0182 
     168    28             0.0181 
     169    29             0.0180 
     170    30             0.0178 
     171    31             0.0179 
     172    32             0.0179 
     173    33             0.0179 
     174    34             0.0179 
     175    35             0.0191 
     176    36             0.0107 
     177    37             0.0096 
     178    38             0.0821 
     179    39             0.0818 
     180    40             0.0902 
    115181 
    116182*********************************************************************************************** 
    117 >>>THE EXPECTED SUM OF THE STAGE COST VARIABLES=224919.160567<<< 
     183>>>THE EXPECTED SUM OF THE STAGE COST VARIABLES=224910.971234<<< 
    118184>>>***WARNING***: Assumes full (or nearly so) convergence of scenario solutions at each node in the scenario tree - computed costs are invalid otherwise<<< 
    119185*********************************************************************************************** 
    120 Final number of discrete variables fixed=13 (total=75) 
     186Final number of discrete variables fixed=49 (total=75) 
    121187Final number of continuous variables fixed=0 (total=0) 
    122188Final variable values: 
     
    130196                                Values:    12500.0000   12500.0000   12500.0000     Max-Min=      0.0000     Avg=  12500.0000  
    131197                        Index: [5,4]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    132                                 Values:     9656.0000    9657.0000    9655.0000     Max-Min=      2.0000     Avg=   9656.0000  
     198                                Values:     9771.0000    9794.0000    9754.0000     Max-Min=     40.0000     Avg=   9773.0000  
    133199                        Index: [5,5]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    134                                 Values:    35000.0000   35000.0000   35000.0000     Max-Min=      0.0000     Avg=  35000.0000  
     200                                Values:    34991.0000   35000.0000   35000.0000     Max-Min=      9.0000     Avg=  34997.0000  
    135201                        Index: [6,6]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    136                                 Values:    25000.0000   25000.0000   25000.0000     Max-Min=      0.0000     Avg=  25000.0000  
     202                                Values:    24999.0000   25000.0000   25000.0000     Max-Min=      1.0000     Avg=  24999.6667  
    137203                        Index: [7,4]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    138                                 Values:      344.0000     343.0000     345.0000     Max-Min=      2.0000     Avg=    344.0000  
     204                                Values:      202.0000     206.0000     246.0000     Max-Min=     44.0000     Avg=    218.0000  
    139205                        Index: [7,7]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    140206                                Values:    15000.0000   15000.0000   15000.0000     Max-Min=      0.0000     Avg=  15000.0000  
     207                        Index: [8,5]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     208                                Values:        6.0000       0.0000       0.0000     Max-Min=      6.0000     Avg=      2.0000  
    141209                        Index: [8,8]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    142                                 Values:    12500.0000   12500.0000   12500.0000     Max-Min=      0.0000     Avg=  12500.0000  
     210                                Values:    12500.0000   12500.0000   12304.0000     Max-Min=    196.0000     Avg=  12434.6667  
    143211                        Index: [9,9]             (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    144                                 Values:     6409.0000    6409.0000    6409.0000     Max-Min=      0.0000     Avg=   6409.0000  
     212                                Values:     6413.0000    6412.0000    6412.0000     Max-Min=      1.0000     Avg=   6412.3333  
     213                        Index: [10,4]            (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     214                                Values:       27.0000       0.0000       0.0000     Max-Min=     27.0000     Avg=      9.0000  
     215                        Index: [10,5]            (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     216                                Values:        4.0000       0.0000       0.0000     Max-Min=      4.0000     Avg=      1.3333  
     217                        Index: [10,6]            (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     218                                Values:        1.0000       0.0000       0.0000     Max-Min=      1.0000     Avg=      0.3333  
     219                        Index: [10,8]            (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     220                                Values:        0.0000       0.0000     196.0000     Max-Min=    196.0000     Avg=     65.3333  
    145221                        Index: [10,9]            (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    146                                 Values:     6091.0000    6091.0000    6091.0000     Max-Min=      0.0000     Avg=   6091.0000  
     222                                Values:     6087.0000    6088.0000    6088.0000     Max-Min=      1.0000     Avg=   6087.6667  
    147223                        Index: [10,10]           (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    148224                                Values:     5000.0000    5000.0000    5000.0000     Max-Min=      0.0000     Avg=   5000.0000  
    149225                Variable=NumProducedFirstStage 
    150226                        Index: [3]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    151                                 Values:    38250.0000   38277.0000   38263.0000     Max-Min=     27.0000     Avg=  38263.3333  
     227                                Values:    38152.0000   38278.0000   38093.0000     Max-Min=    185.0000     Avg=  38174.3333  
    152228                        Index: [5]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    153                                 Values:    44656.0000   44657.0000   44655.0000     Max-Min=      2.0000     Avg=  44656.0000  
     229                                Values:    44762.0000   44794.0000   44754.0000     Max-Min=     40.0000     Avg=  44770.0000  
    154230                        Index: [6]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    155                                 Values:    38744.0000   38745.0000   38744.0000     Max-Min=      1.0000     Avg=  38744.3333  
     231                                Values:    38827.0000   38848.0000   38823.0000     Max-Min=     25.0000     Avg=  38832.6667  
    156232                        Index: [7]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    157                                 Values:    17783.0000   17783.0000   17783.0000     Max-Min=      0.0000     Avg=  17783.0000  
     233                                Values:    17748.0000   17742.0000   17745.0000     Max-Min=      6.0000     Avg=  17745.0000  
    158234                        Index: [8]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    159                                 Values:    22172.0000   22174.0000   22172.0000     Max-Min=      2.0000     Avg=  22172.6667  
     235                                Values:    22261.0000   22269.0000   22254.0000     Max-Min=     15.0000     Avg=  22261.3333  
    160236                        Index: [9]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    161                                 Values:    13079.0000   13080.0000   13079.0000     Max-Min=      1.0000     Avg=  13079.3333  
     237                                Values:    13112.0000   13106.0000   13107.0000     Max-Min=      6.0000     Avg=  13108.3333  
    162238                        Index: [10]              (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    163                                 Values:    24746.0000   24746.0000   24746.0000     Max-Min=      0.0000     Avg=  24746.0000  
     239                                Values:    24661.0000   24625.0000   24662.0000     Max-Min=     37.0000     Avg=  24649.3333  
    164240                Variable=ProduceSizeFirstStage 
    165241                        Index: [3]               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
     
    179255                Cost Variable=FirstStageCost 
    180256                        Tree Node=RootNode               (Scenarios:  Scenario1   Scenario2   Scenario3   ) 
    181                         Values:   163349.5248  163374.3448  163358.7296     Max-Min=     24.8200     Avg= 163360.8664  
     257                        Values:   163424.9168  163530.1920  163360.0376     Max-Min=    170.1544     Avg= 163438.3821  
    182258Final costs: 
    183259Scenario Tree Costs 
     
    200276                Scenario2 
    201277                Scenario3 
    202         Expected node cost=224919.1606 
     278        Expected node cost=224910.9712 
    203279 
    204280        Name=Scenario1Node 
     
    210286        Scenarios: 
    211287                Scenario1 
    212         Expected node cost=28244.7504 
     288        Expected node cost=28160.1568 
    213289 
    214290        Name=Scenario2Node 
     
    220296        Scenarios: 
    221297                Scenario2 
    222         Expected node cost=61365.4368 
     298        Expected node cost=61201.6096 
    223299 
    224300        Name=Scenario3Node 
     
    230306        Scenarios: 
    231307                Scenario3 
    232         Expected node cost=95098.7200 
     308        Expected node cost=95096.3968 
    233309 
    234310---------------------------------------------------- 
     
    241317                RootNode 
    242318                Scenario1Node 
    243         Stage=          FirstStage     Cost=163349.5248 
    244         Stage=         SecondStage     Cost=28244.7504 
    245         Total scenario cost=191594.2752 
     319        Stage=          FirstStage     Cost=163424.9168 
     320        Stage=         SecondStage     Cost=28160.1568 
     321        Total scenario cost=191585.0736 
    246322 
    247323        Name=Scenario2 
     
    251327                RootNode 
    252328                Scenario2Node 
    253         Stage=          FirstStage     Cost=163374.3448 
    254         Stage=         SecondStage     Cost=61365.4368 
    255         Total scenario cost=224739.7816 
     329        Stage=          FirstStage     Cost=163530.1920 
     330        Stage=         SecondStage     Cost=61201.6096 
     331        Total scenario cost=224731.8016 
    256332 
    257333        Name=Scenario3 
     
    261337                RootNode 
    262338                Scenario3Node 
    263         Stage=          FirstStage     Cost=163358.7296 
    264         Stage=         SecondStage     Cost=95098.7200 
    265         Total scenario cost=258457.4496 
     339        Stage=          FirstStage     Cost=163360.0376 
     340        Stage=         SecondStage     Cost=95096.3968 
     341        Total scenario cost=258456.4344 
    266342 
    267343---------------------------------------------------- 
    268344 
    269 Total PH execution time=  393.33 seconds 
    270  
     345Total PH execution time=320.22 seconds 
     346 
     347Total execution time=320.22 seconds 
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