作者: 负雪明烛

id: fuxuemingzhu

个人博客: ​​http://fuxuemingzhu.cn/​​​



目录


题目地址:​​https://leetcode.com/problems/binary-search/description/​

题目描述

Given a sorted (in ascending order) integer array nums of n elements and a target value, write a function to search target in nums. If target exists, then return its index, otherwise return -1.

Example 1:

Input: nums = [-1,0,3,5,9,12], target = 9
Output: 4
Explanation: 9 exists in nums and its index is 4

Example 2:

Input: nums = [-1,0,3,5,9,12], target = 2
Output: -1
Explanation: 2 does not exist in nums so return -1

Note:


  1. You may assume that all elements in ​​nums​​ are unique.
  2. n will be in the range ​​[1, 10000]​​.
  3. The value of each element in ​​nums​​​ will be in the range ​​[-9999, 9999]​​.

题目大意

二分查找某个元素出现的位置。

解题方法

线性查找

这个题目名字叫做二分查找,但是给的测试用例使用10000个,那么完全可以线性查找,代码如下。

class Solution(object):
def search(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
try:
return nums.index(target)
except:
return -1

二分查找

不懂为啥这么简单的题,没人做?

二分查找真是最基本的题目了吧,应该保证一遍就过的。就不多说了。

下面的做法是查找[left, right]闭区间。代码如下:

class Solution:
def search(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
left, right = 0, len(nums) - 1
while left <= right:
mid = (left + right) // 2
if nums[mid] == target:
return mid
elif nums[mid] < target:
left = mid + 1
else:
right = mid - 1
return -1

如果是查找[left, right)左闭右开区间的话,代码如下:

class Solution(object):
def search(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
N = len(nums)
left, right = 0, N
# [0, N)
while left < right:
mid = left + (right - left) / 2
if nums[mid] == target:
return mid
elif nums[mid] > target:
right = mid
else:
left = mid + 1
return -1

日期

2018 年 7 月 12 日 —— 天阴阴地潮潮,已经连着两天这样了

2018 年 11 月 21 日 —— 又是一个美好的开始