This is documentation for an old release of NumPy (version 1.17.0). Read this page in the documentation of the latest stable release (version > 1.17).
numpy.polynomial.legendre.leggauss¶
-
numpy.polynomial.legendre.leggauss(deg)[source]¶ Gauss-Legendre quadrature.
Computes the sample points and weights for Gauss-Legendre quadrature. These sample points and weights will correctly integrate polynomials of degree
or less over the interval ![[-1, 1]](../../_images/math/cb7be23084c5bfd85202799289baf917a191b2cb.svg)
with
the weight function 
.Parameters: - deg : int
Number of sample points and weights. It must be >= 1.
Returns: - x : ndarray
1-D ndarray containing the sample points.
- y : ndarray
1-D ndarray containing the weights.
Notes
New in version 1.7.0.
The results have only been tested up to degree 100, higher degrees may be problematic. The weights are determined by using the fact that
where
is a constant independent of 
and 
is the k’th root of 
, and then scaling the results to get
the right value when integrating 1.