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Hi @vpuri3 I am interested in this project and also
- Gauss-Hermite
- Gauss-Laguerre
quadratures, and how nonlinear terms are handled. In particular there is a body of work in ultra-cold gases t…
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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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In order to compare baseline performance vs. FSL eddy.
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Dear :santa:
Please edit and add new features at will (not saying everything should be implemented for `v1`):
- [x] More user friendly MRA initialization, e.g. `world_size = [-20, 20]**3`
- [ ]…
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### Is your feature request related to a problem? Please describe.
_No response_
### Describe the solution you'd like.
It would be nice to add an argument `regularized: bool` and have the possibili…
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103-01-11:
```
notes:
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Examples:
* Legendre polynomials P constitute a system of orthogonal functions on the interval stem:[- 1 , + 1] because stem:[int_( - 1)^( + 1) P_k …
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Currently polynomial fits work as follows
```python
x = [0, 1]
y = [0, 1]
fit = Polynomial.fit(x, y, deg=1)
print(f"Coefficients for 1-order fit on {x=}, {y=}:")
print(f"Raw: {fit.coef}")
pri…
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# Motivation
As discussed in #13602 , we would like to support a richer set of basis in polynomials. Namely our polynomial is written in the form of
```
p(x) = ∑ᵢ cᵢ ϕᵢ(x)
```
where `ϕᵢ(x)` is t…
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# Summary
I have been on the setup.py then setup.cfg bangwagon for about ten years, but am begrudgingly moving over to pyproject.toml. There is an extremely brief mention of this on the docs site,…
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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…