@jit Slowing Down Function

I'm developing an optimization code for a complex reservoir operations problem. Part of this requires me to calculate the objective function for a large number of potential solutio

Solution 1:

numba functions are compiled lazily, i.e., not until called the first time, so your timings are a capturing the one-time compilation overhead. If I call each function once before running the timing sections, I get:

time FO=0.4103426933288574
time FO with @jit=0.0020008087158203125
time P_FO=0.04154801368713379
time P_FO with @jit=0.004002809524536133