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Using Interpolations
```
x = rand(50,5)*2 .- 1 # Fake input data
y = rand(50) # Fake output data
itp = interpolate((x,),y, BSpline(Linear()))
ERROR: MethodError: no method matching inter…
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Viscosity fits are of a rather poor quality. The simple equation exp(A/(T-B)+C) can describe the general trends. At high temperatures, many fluids exhibit a relative error of up to 100%, that is not r…
jowr updated
11 years ago
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`x, y = np.random.rand(100), np.random.rand(100, 25)`
`fit = np.polynomial.polynomial.polyfit(x, y, 2)`
works fine, but
`fit = np.polynomial.Polynomial.fit(x, y, 2)`
fails with `ValueError: Coefficien…
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### Is your feature request related to a problem? Please describe.
The task of finding the MLE for a three-parameter (generalized) Pareto distribution boils down to finding _all_ roots of the (univ…
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- [x] There has been no addition to the comments at the top of the file indicating what was added to this dictionary and when. These need to be added.
The following definitions are problematic for …
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In developing the systematics simulation pipeline for H1C IDR3.2 validation, I've realized that there are a few improvements that could be made to the `Reflections` class. I'll try to explain here wit…
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While other orthogonal polynomial functions (as well as almost all other symbolic functions) are simply `BuiltinFunction`s or `GinacFunction`s this ticket suffers from the fact that the Cheby functi…
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The trigonometric module currently has the following functions that need implementation or work done.
TODO:
Implement:
- [ ] acos
- [ ] asin
- [ ] atan
- [ ] atan2
- [ ] cos
- [ ] sin
-…
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New functionality has to be added to Ragavi to enable the ability to plot the gain solutions in CARACal for bandpass calibration using the polynomial fit solution in the BPOLY caltable structure