schemes.py 文件源码

def chebyshev1(n, decimal_places):
    # There are explicit representations, too, but for the sake of consistency
    # go for the recurrence coefficients approach here.
    _, _, alpha, beta = \
        recurrence_coefficients.chebyshev1(n, 'monic', symbolic=True)
    beta[0] = sympy.N(beta[0], decimal_places)
    return custom(alpha, beta, mode='mpmath', decimal_places=decimal_places)