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ResearchFormerly WizWand

Linear Assignment Problem on MOT

0.0014Mean Latency (s)SciPy
-0.7570284.3623619.4817514.601139May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SciPyN=5002026.050.001413.840.00110.0021
Neural Dual Warm-StartingN (Problem Size)=500, Number of Trials=302026.050.003312.120.00310.0047
SciPyN=10002026.050.007119.870.00570.0119
Neural Dual Warm-StartingN (Problem Size)=1000, Number of Trials=302026.050.0088.750.00720.01
Neural Dual Warm-StartingN (Problem Size)=1500, Number of Trials=302026.050.018515.680.01510.0268
SciPyN=15002026.050.020720.720.01610.0337
Neural Dual Warm-StartingN (Problem Size)=2000, Number of Trials=302026.050.036531.230.0270.0731
SciPyN=20002026.050.039417.350.03030.0612
SciPyN=40002026.050.188221.350.13430.2707
Neural Dual Warm-StartingN (Problem Size)=4000, Number of Trials=302026.050.258235.360.15130.467
Neural Dual Warm-StartingN (Problem Size)=6000, Number of Trials=302026.050.565429.040.4561.8881
SciPyN=60002026.050.633429.040.42641.0413
Neural Dual Warm-StartingN (Problem Size)=8000, Number of Trials=302026.050.986333.640.92073.1372
Neural Dual Warm-StartingN (Problem Size)=10000, Number of Trials=302026.052.113232.641.69625.4201
SciPyN=80002026.052.290945.680.97334.2924
Neural Dual Warm-StartingN (Problem Size)=12000, Number of Trials=302026.053.899829.052.79378.5711
SciPyN=100002026.054.59747.021.98719.5304
Neural Dual Warm-StartingN (Problem Size)=14000, Number of Trials=302026.055.383931.685.088713.2564
SciPyN=120002026.057.542745.063.771414.9113
Neural Dual Warm-StartingN (Problem Size)=16000, Number of Trials=302026.058.023327.756.702220.0959
SciPyN=140002026.0512.174241.666.447822.7414
SciPyN=160002026.0518.962141.2810.07837.6409