Example #1
0
def all_rates(C, n, wx, wy, wz):
    px, py, pz = np.diag(C)
    rates = {}
    for z in range(wz+1):
        for y in range(2-z):
            for x in range(4-y-z):
                errstring = "x" * x + "y" * y + "z" * z
                rates[errstring] = bn(n, x+y+z) \
                    * (px ** x) * (py ** y) * (pz ** z) \
                    * ((1 - px - py - pz) ** (n - x - y - z))
    rates["fail"] = 1 - np.sum(rates.values())
    return rates
Example #2
0
 def basis(self,v):
     return bn(self.n,v)*self.t**v*(1-self.t)**(self.n-v)
Example #3
0
 def basis(self, t, v):
     n = 3  # spline order
     return bn(n, v) * t**v * (1 - t)**(n - v)
Example #4
0
 def basis(self, v):
     return bn(self.n, v) * self.t**v * (1 - self.t)**(self.n - v)
Example #5
0
from scipy.special import binom as bn
from math import factorial as f
import numpy as np

sum = 0
for k in range(4, 11):
    sum += bn(10, k) * f(4 + k) * f(15 - (4 + k) - 1) / f(15)

print(sum)

print((1 - 5 * sum) / 10)
def mixed_conditional(j, n=100, m=5):
    return (2 * m - 1) / (n + 2 * m - 1) * bn(n, j) * bn(
        2 * m - 2, m - 1) / bn(n + 2 * m - 2, j + m - 1)