34 在排序数组中查找元素的第一个和最后一个位置

本文最后更新于:2022年4月9日 中午


给定一个按照升序排列的整数数组 nums,和一个目标值 target。找出给定目标值在数组中的开始位置和结束位置。

你的算法时间复杂度必须是 O(log n) 级别。

如果数组中不存在目标值,返回 [-1, -1]

示例 1:

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输入: nums = [5,7,7,8,8,10], target = 8
输出: [3,4]

示例 2:

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输入: nums = [5,7,7,8,8,10], target = 6
输出: [-1,-1]

Solution

  • 二分搜索算法

参考 二分搜索 的思路

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# @lc code=start
class Solution:
def searchRange(self, nums: List[int], target: int) -> List[int]:

def first_num(nums, target):
low, high = 0, len(nums)-1
while low<=high:
mid = low+((high-low) >> 1)
if nums[mid] >=target:
high = mid-1
else:
low = mid+1
if low >= len(nums) or nums[low] != target:
return -1
return low

def last_num(nums, target):
low, high = 0, len(nums)-1
while low<=high:
mid = low+((high-low) >> 1)
if nums[mid] <= target:
low = mid+1
else:
high = mid-1
if high < 0 or nums[high] != target:
return -1
return high

start = first_num(nums, target)
end = last_num(nums, target)
return [start, end]
# @lc code=end

注:二分搜索框架

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int binary_search(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while(left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] < target) {
left = mid + 1;
} else if (nums[mid] > target) {
right = mid - 1;
} else if(nums[mid] == target) {
// 直接返回
return mid;
}
}
// 直接返回
return -1;
}

int left_bound(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] < target) {
left = mid + 1;
} else if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] == target) {
// 别返回,锁定左侧边界
right = mid - 1;
}
}
// 最后要检查 left 越界的情况
if (left >= nums.length || nums[left] != target)
return -1;
return left;
}


int right_bound(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] < target) {
left = mid + 1;
} else if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] == target) {
// 别返回,锁定右侧边界
left = mid + 1;
}
}
// 最后要检查 right 越界的情况
if (right < 0 || nums[right] != target)
return -1;
return right;
}

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