[PYTHON/TENSORFLOW] 몬테카를로 기법을 사용해 원주율 구하기

■ 몬테카를로 기법을 사용해 원주율을 구하는 방법을 보여준다.

▶ 예제 코드 (PY)


import matplotlib.pyplot as pp
import tensorflow as tf

trialCount = 100
hitCount = 0

x = tf.random_uniform([1], minval = -1, maxval = 1, dtype = tf.float32)
y = tf.random_uniform([1], minval = -1, maxval = 1, dtype = tf.float32)

piList = []

with tf.Session() as sess:
    for i in range(1, trialCount):
        for j in range(1, trialCount):
            if x.eval() ** 2 + y.eval() ** 2 < 1:
                hitCount = hitCount + 1
                piList.append((4 * float(hitCount) / i) / trialCount)

pp.plot(piList)
pp.show()

import matplotlib.pyplot as pp

import tensorflow as tf

trialCount = 100

hitCount = 0

x = tf.random_uniform([1], minval = -1, maxval = 1, dtype = tf.float32)

y = tf.random_uniform([1], minval = -1, maxval = 1, dtype = tf.float32)

piList = []

with tf.Session() as sess:

for i in range(1, trialCount):

for j in range(1, trialCount):

if x.eval() ** 2 + y.eval() ** 2 < 1:

hitCount = hitCount + 1

piList.append((4 * float(hitCount) / i) / trialCount)

pp.plot(piList)

pp.show()