Created
October 20, 2014 03:45
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N20, R50, MIPGap=0.01, Threads=1
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| PYTHON | |
| 2651 | |
| -75.3212163 | |
| 49.8698305592 | |
| min 7.85425305367 | |
| mean 7.98054280281 | |
| 75656742.8543 | |
| cb_work_time/ITERS 1.93139100075e-06 | |
| JULIA | |
| getObjectiveValue(m) => 75.32122134681227 | |
| norm((getValue(x))[:]) => 49.86983055916673 | |
| callbacks => 2651 | |
| minimum(times) => 7.035883033 | |
| median(times) => 7.1289896185 | |
| mean(times) => 7.1385828574 | |
| dummy => 6.5e8 | |
| cb_work_time / ITERS => 2.8016772899999997e-7 | |
| CB math in Python in 10x slower than Julia | |
| Python est math time = 2651*1.93139100075e-06 = 0.00512011754298825 | |
| Julia est math time = 2651*2.801677289999e-7 = 0.00074272464957899 | |
| Therefore math time is not to blame for difference | |
| Therefore 12% penalty just from Python interface overhead (extracting solution, adding constraints) |
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