一、时间复杂度O(N^3):
import time
def find_abc(max_bondary):
max_bondary += 1
for a in range(1, max_bondary):
for b in range(1, max_bondary):
for c in range(1, max_bondary):
if a + b + c == 1000 and a**2 + b**2 == c**2:
print("(a=%d, b=%d, c=%d)" % (a, b, c))
def main():
time_start = time.time()
find_abc(1000)
time_end = time.time()
print("time_cost=%f" % (time_end - time_start))
if __name__ == '__main__':
main()
二、时间复杂度O(N^2):
import time
def find_abc(max_bondary):
threshold_ac = max_bondary // 3
threshold_b = max_bondary // 2
for a in range(1, threshold_ac):
for b in range(a + 1, max_bondary):
c = 1000 - a - b
if a**2 + b**2 == c**2:
print("a=%d, b=%d, c=%d" % (a, b, c))
def main():
time_start = time.time()
find_abc(1000)
time_

本文介绍了一种使用不同时间复杂度的算法来寻找满足特定条件的勾股数(a^2 + b^2 = c^2)的方法。通过展示三种算法(时间复杂度分别为O(N^3)、O(N^2) 和 O(NlogN)),文章详细解释了如何有效地找到这样的勾股数,并对比了它们的执行效率。
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