numpy.polynomial.laguerre.lagweight#
- polynomial.laguerre.lagweight(x)[source]#
Weight function of the Laguerre polynomials.
The weight function is \(exp(-x)\) and the interval of integration is \([0, \inf]\). The Laguerre polynomials are orthogonal, but not normalized, with respect to this weight function.
- Parameters:
- xarray_like
Values at which the weight function will be computed.
- Returns:
- wndarray
The weight function at x.
Notes
New in version 1.7.0.
Examples
>>> from numpy.polynomial.laguerre import lagweight >>> x = np.array([0, 1, 2]) >>> lagweight(x) array([1. , 0.36787944, 0.13533528])