Resource Times:

Date / Time: 09/02/07 12:34:36


See the solver return definitions for optimal/feasible model and solve statuses. Solutions are not checked for how close they are to eachother. Resource times are considered the same, if they are within 10% of eachother. A solver is considered faster than another, if it is less than 50% faster than the other. A solver is considered much faster than another, if it is more than 50% faster than the other.

If a model was not solved optimal/feasible by both solvers, the resource time is considered the same. If a model was solved optimal/feasible by solver A but not by solver B, then solver A is considered infinitely faster than solver B. Similarly, if one solver has trace data and the other has no data, then the first solver is consideredinfinitely faster.

A solver is considered to have a better objective function value, if the relative objective value difference is greater than 1.00E-05 For objective values below 1e-1 we use absolute differences.

Tracefile 1 :1-SBB-1.trc.convex
Tracefile 2 :2-SBB-5.trc.convex
Solvers used : SBB-CONOPT
SBB-IPOPT
Modeltype(s)   MINLP
Threshold: Solver Faster 10%
Threshold: Solver Much Faster 50%
Threshold: Solver Infinitely Faster Other solver failed


Total Obj SBB-CONOPT better Obj same Obj SBB-IPOPT better
Solver SBB-CONOPT infinitely faster :- - - -
Solver SBB-CONOPT much faster : 14 1 11 2
Solver SBB-CONOPT faster : 10 - 7 3
Solvers perform the same : 9 - 9 -
Solver SBB-IPOPT faster :- - - -
Solver SBB-IPOPT much faster : 1 - - 1
Solver SBB-IPOPT infinitely faster :- - - -
Both solvers failed to solve optimally : 5 - 5 -
Total models: : 391326




Solver return definition:

OutcomeModel StatusSolver Status
globally optimal 1 or 15 1
locally optimal/feasible 2 or 8 or 16 1 or 2 or 3 or 4 or 5




Resource Times:

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Solver SBB-CONOPT much faster - Obj of SBB-CONOPT better:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
du-opt1.74003.97000.438 3.56108965E+00 3.56468638E+00

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Solver SBB-CONOPT much faster - Obj same for both solvers:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
batch0.23001.64000.140 2.85506508E+05 2.85506508E+05
du-opt520.820052.47000.397 8.07365758E+00 8.07365758E+00
ex12230.06000.21000.286 4.57958240E+00 4.57958240E+00
fac10.01001.8700--- 1.60912612E+08 1.60912612E+08
fac30.29007.17000.040 3.19823098E+07 3.19823098E+07
m30.40001.76000.227 3.78000000E+01 3.78000000E+01
risk2b0.390032.02000.012 -5.57361685E+01 -5.57361685E+01
risk2bpb0.420020.71000.020 -5.57361685E+01 -5.57361685E+01
st_test50.06000.64000.094 -1.10000000E+02 -1.10000000E+02
st_test60.09000.73000.123 4.71000000E+02 4.71000000E+02
synthes30.18001.31000.137 6.80097405E+01 6.80097405E+01

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Solver SBB-CONOPT much faster - Obj of SBB-IPOPT better:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
st_e350.01003.8600--- 1.17178934E+05 6.48680769E+04
st_testgr30.06004.06000.015 -2.04688000E+01 -2.05274000E+01

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Solver SBB-CONOPT faster - Obj same for both solvers:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
ex1223b0.00000.1700--- 4.57958240E+00 4.57958240E+00
nvs030.02000.1500--- 1.60000000E+01 1.60000000E+01
st_e140.02000.1900--- 4.57958240E+00 4.57958240E+00
st_miqp10.03000.1400--- 2.81000000E+02 2.81000000E+02
st_miqp20.03000.2800--- 2.00000000E+00 2.00000000E+00
st_testgr10.04000.2900--- -1.27281000E+01 -1.27281000E+01
synthes20.04000.4200--- 7.30353125E+01 7.30353125E+01

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Solver SBB-CONOPT faster - Obj of SBB-IPOPT better:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
m6196.7700255.33000.771 1.29824936E+02 1.06256877E+02
m7223.4600266.15000.840 1.23964378E+02 1.18756877E+02
meanvarx0.02000.2700--- 1.44969830E+01 1.44040623E+01

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Solvers perform the same - Obj same for both solvers:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
alan0.01000.0900--- 2.92500000E+00 2.92500000E+00
ex1223a0.01000.0700--- 4.57958240E+00 4.57958240E+00
gbd0.00000.0400--- 2.20000000E+00 2.20000000E+00
nvs100.02000.0500--- -3.10800000E+02 -3.10800000E+02
st_miqp30.00000.0200--- -6.00000000E+00 -6.00000000E+00
st_miqp50.00000.0200--- -3.33888889E+02 -3.33888889E+02
st_test80.01000.0900--- -2.96050000E+04 -2.96050000E+04
st_testph40.02000.0800--- -8.05000000E+01 -8.05000000E+01
synthes10.03000.1200--- 6.00975891E+00 6.00975891E+00

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Solver SBB-IPOPT much faster - Obj of SBB-IPOPT better:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
stockcycle98.010030.59003.204 1.43295165E+05 1.19948688E+05

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Both solvers failed to solve optimally - Obj same for both solvers:

Modelname Time (SBB-CONOPT) Time (SBB-IPOPT) Ratio (SBB-CONOPT / SBB-IPOPT) Obj (SBB-CONOPT) Obj (SBB-IPOPT)
fo7fail fail -- 0.00000000E+00 0.00000000E+00
o7fail fail -- 0.00000000E+00 0.00000000E+00
tls12fail fail -- 0.00000000E+00 0.00000000E+00
tls6fail fail -- 0.00000000E+00 0.00000000E+00
tls7fail fail -- 0.00000000E+00 0.00000000E+00

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