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bundles / scipy 1.18.0 / scipy / special / _orthogonal / roots_sh_jacobi

function

scipy.special._orthogonal:roots_sh_jacobi

source: /scipy/special/_orthogonal.py:408

Signature

def roots_sh_jacobi(n, p1, q1, mu = False)

Summary

Gauss-Jacobi (shifted) quadrature.

Extended Summary

Compute the sample points and weights for Gauss-Jacobi (shifted) quadrature. The sample points are the roots of the nth degree shifted Jacobi polynomial, . These sample points and weights correctly integrate polynomials of degree or less over the interval with weight function . See 22.2.2 in [AS] for details.

Parameters

n : int

quadrature order.

p1 : float

(p1 - q1) must be > -1.

q1 : float

q1 must be > 0.

mu : bool, optional

If True, return the sum of the weights, optional.

Returns

x : ndarray

Sample points

w : ndarray

Weights

mu : float

Sum of the weights

See also

scipy.integrate.fixed_quad

Aliases

  • scipy.special.js_roots