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adtzlr avatar adtzlr commented on June 5, 2024

this would be a simple replacement

def gauss_legendre(order, dim):
    "Gauss-Legendre Points and Weights."
    
    x, w = np.polynomial.legendre.leggauss(order)
    
    points = np.stack(
        np.meshgrid(*([x] * dim), indexing="ij")
    )[::-1].reshape(dim, -1).T
    
    idx = ["i", "j", "k"][:dim]
    weights = np.einsum(", ".join(idx), *([w] * dim)).ravel()
    
    return points, weights

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adtzlr avatar adtzlr commented on June 5, 2024

even nicer because it works on arbitrary dimensions...

import numpy as np
from string import ascii_lowercase


def gauss_legendre(order, dim):
    "Gauss-Legendre Points and Weights."
    
    x, w = np.polynomial.legendre.leggauss(order)
    
    points = np.stack(
        np.meshgrid(*([x] * dim), indexing="ij")
    )[::-1].reshape(dim, -1).T
    
    idx = list(ascii_lowercase)[: dim]
    weights = np.einsum(", ".join(idx), *([w] * dim)).ravel()
    
    return points, weights

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adtzlr avatar adtzlr commented on June 5, 2024

see

class GaussLegendre(Scheme):
"A n-dimensional Gauss-Legendre quadrature rule."
def __init__(self, order: int, dim: int):
"""Arbitrary `order` Gauss-Legendre quadrature rule of `dim` 1, 2 or 3
on the interval [-1, 1] as approximation of
∫ f(x) dx ≈ ∑ f(x_a) w_a (1)
with `a` quadrature points `x_a` and corresponding weights `w_a`.
"""
# integration point weights and coordinates
if dim not in [1, 2, 3]:
raise ValueError("Wrong dimension.")
x, w = np.polynomial.legendre.leggauss(1 + order)
points = (
np.stack(np.meshgrid(*([x] * dim), indexing="ij"))[::-1].reshape(dim, -1).T
)
idx = list(ascii_lowercase)[:dim]
weights = np.einsum(", ".join(idx), *([w] * dim)).ravel()
super().__init__(points, weights)

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adtzlr avatar adtzlr commented on June 5, 2024

fixed by #96

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