Fr = [nan, 1.8480594791587516e-10, -2.845085150949855e-10, -6.3445506654588604e-10, -9.5214902979942885e-10, -1.2565581579735747e-09, -1.5542185192089495e-09, -1.8479834337619993e-09, -2.1392966454320411e-09, -2.4289669756857001e-09, -2.7174827486099946e-09]

def gradientDescent(x0, grad, h):
    result, x = [], x0
    for v in grad:
        x -= v * h
        result.append(x)
    return result

Пример: test = gradientDescent(1,Fr,100000000)