二分法
要求在一个有序序列中,例如[0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66, 69, 72, 75, 78, 81, 84, 87, 90, 93, 96, 99],查找一个数字,如果找到则打印该数字,如果找不到,则输出“not found!”
1:递归方式
递归,是在函数中自身调用自身的一种情况,直到有一个明确的退出条件成立后结束相互调用。递归是一种很容易理解某类问题的方式,但是不是特别高效,因为每次调用自身时,都会在内存中创建一个新的内存空间,当不断循环调用非常多次时,是非常耗内存的。
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def recursion_search(data_source, find_n):
mid = len(data_source) / 2
if len(data_source) >= 1:
if find_n > data_source[mid]:
recursion_search(data_source[mid + 1:], find_n)
elif find_n < data_source[mid]:
recursion_search(data_source[:mid], find_n)
else:
print data_source[mid]
else:
print "not found !"
if __name__ == '__main__':
test_array = range(0, 100, 3)
recursion_search(test_array, 99)
2:循环方式
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def loop_search(data_source, find_n):
while len(data_source):
mid = len(data_source) / 2
if find_n < data_source[mid]:
data_source = data_source[:mid]
elif find_n > data_source[mid]:
data_source = data_source[mid + 1:]
else:
print data_source[mid]
break
else:
print "not found !"
if __name__ == '__main__':
test_array = range(0, 100, 3)
loop_search(test_array, 99)
2、不能排序直接用二分法求出来最大值的索引值[1,2,4,6,3,1]
list = [1,2,4,6,3,1]
def twosplit(list,left,right):
while (left<=right):
mid = (left+right)//2
if list[mid]>list[mid - 1] and list[mid]>list[mid + 1]:
return mid
elif list[mid]>list[mid-1] and list[mid]<list[mid + 1]:
left = mid
else:
right = mid
if __name__ =="__main__":
print(twosplit(list, 0, len(list) - 1))
# 给定一个排好序(升序)的列表与待查找的关键字,成功则返回其索引,失败则返回-1。
def search(list, key): left = 0 # 左边界 right = len(list) - 1 # 右边界 while left <= right: mid = (left + right) // 2 # 取得中间索引 if key > list[mid]: left = mid + 1 elif key < list[mid]: right = mid - 1 else: return mid else: return -1 list = [2, 5, 13, 21, 26, 33, 37] print(search(list, 21))