Update ADACS: Scaling and Profiling notes authored by Conrad Chan's avatar Conrad Chan
......@@ -215,4 +215,4 @@ In [5]: %timeit np.interp(2.22, x, y)
2.25 µs ± 20.6 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
```
The average error in magnitude of `d_inner_h` when using linear interpolation is 0.1%, and max error is 3.7%.
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The average error in magnitude of `d_inner_h` when using linear interpolation (compared with cubic) is 0.1%, and max error is 3.7%.
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