我计算2 * Volume
sphere(dimension=4) / Volume
cylinder(dimension=4)
的{{1}}。我遇到的问题是解决问题的第一种方法。第二种方法给出了正确的答案。也就是说,当答案应该是1.17时,我得到1.14。这些程序有何不同?我无法发现差异。
import random
# FIRST WAY
print('elegant solution')
coordinates = [0] * 3
alpha = 0
delta = 0.1
deltas = [0] * 3
n_trials = 1000000
n_hits = 0
for a in range(6):
for i in range(n_trials):
# gets random deltas, and random alpha for 4th dimension
deltas = [random.uniform(-delta, delta) for coordinate in deltas]
alpha = random.uniform(-1.0, 1.0)
# sum of the (n - 1) first components
sum_components = sum((coordinates[j] + deltas[j])**2 for j in range(3))
# if the sample is inside the cylinder
if sum_components < 1.0:
coordinates = [coordinates[j] + deltas[j] for j in range(3)]
# if the sample is inside the sphere
if sum_components + alpha**2 < 1.0:
n_hits += 1
print (2.0 * float(n_hits) / float(n_trials)) # 2V_sph(4) / V_cyl(4) where V_sph=hits Vcyl=trials
coordinates = [0] * 3
n_hits = 0
# SECOND WAY
print('typical solution')
x, y, z, alpha = 0.0, 0.0, 0.0, 0.0
delta = 0.1
n_trials = 1000000
n_hits = 0
for a in range (6):
for i in range(n_trials):
# gets random deltas, and random alpha for 4th dimension
del_x, del_y, del_z, alpha = random.uniform(-delta, delta), random.uniform(-delta, delta), random.uniform(-delta, delta), random.uniform(-1, 1)
# if the sample is inside the cylinder
if (x + del_x)**2 + (y + del_y)**2 + (z + del_z)**2 < 1.0:
x, y, z = x + del_x, y + del_y, z + del_z
# if the sample is inside the sphere
if x**2 + y**2 + z**2 + alpha**2 < 1.0:
n_hits += 1
print (2.0 * n_hits / float(n_trials)) # 2V_sph(4) / V_cyl(4) where V_sph=hits Vcyl=trials
x, y, z = 0.0, 0.0, 0.0
n_hits = 0
答案 0 :(得分:4)
下一行:
if (sum_components + alpha**2) < 1.0:
不等于:
if (x**2 + y**2 + z**2 + alpha**2) < 1.0:
等于:
if ((x + del_x)**2 + (y + del_y)**2 + (z + del_z)**2 + alpha**2) < 1.0
你可以改变它:
if sum(c**2 for c in coordinates) + alpha**2 < 1.0
您的代码不是非常Pythonic。这是一些重构:
import random
delta = 0.1
n_trials = 1000000
for _ in range(6):
coords = [0] * 3
n_hits = 0
for _ in range(n_trials):
deltas = [random.uniform(-delta, delta) for _ in range(len(coords))]
alpha = random.uniform(-1.0, 1.0)
if sum((c + d)**2 for c, d in zip(coords, deltas)) < 1.0:
coords = [c + d for c, d in zip(coords, deltas)]
if sum(c**2 for c in coords) + alpha**2 < 1.0:
n_hits += 1
print(2.0 * n_hits / n_trials)