Given an array of integers nums
sorted in non-decreasing order, find the starting and ending position of a given target
value.
If target
is not found in the array, return [-1, -1]
.
You must write an algorithm with O(log n)
runtime complexity.
Example 1:
Input: nums = [5,7,7,8,8,10], target = 8 Output: [3,4]
Example 2:
Input: nums = [5,7,7,8,8,10], target = 6 Output: [-1,-1]
Example 3:
Input: nums = [], target = 0 Output: [-1,-1]
Constraints:
0 <= nums.length <= 105
-109 <= nums[i] <= 109
nums
is a non-decreasing array.-109 <= target <= 109
给你一个按照非递减顺序排列的整数数组 nums
,和一个目标值 target
。请你找出给定目标值在数组中的开始位置和结束位置。
如果数组中不存在目标值 target
,返回 [-1, -1]
。
你必须设计并实现时间复杂度为 O(log n)
的算法解决此问题。
示例 1:
输入:nums = [5,7,7,8,8,10]
, target = 8
输出:[3,4]
示例 2:
输入:nums = [5,7,7,8,8,10]
, target = 6
输出:[-1,-1]
示例 3:
输入:nums = [], target = 0 输出:[-1,-1]
提示:
0 <= nums.length <= 105
-109 <= nums[i] <= 109
nums
是一个非递减数组-109 <= target <= 109
Language | Runtime | Memory | Submission Time |
---|---|---|---|
typescript | 64 ms | 42.9 MB | 2022/05/06 20:48 |
function searchRange(nums: number[], target: number): number[] {
return [searchFirst(nums, target), searchLast(nums, target)];
};
function searchFirst(nums: number[], target: number): number {
if (nums.length === 0) {
return -1;
}
if (nums.length === 1) {
return nums[0] === target ? 0 : -1;
}
let i = 0, j = nums.length - 1, mid = Math.floor((i + j) / 2);
while (i <= j) {
mid = Math.floor((i + j) / 2);
if (nums[mid] >= target) {
j = mid - 1;
} else {
i = mid + 1;
}
}
return (i >= nums.length || nums[i] !== target) ? -1 : i;
}
function searchLast(nums: number[], target: number): number {
if (nums.length === 0) {
return -1;
}
if (nums.length === 1) {
return nums[0] === target ? 0 : -1;
}
let i = 0, j = nums.length - 1, mid = Math.floor((i + j) / 2);
while (i <= j) {
mid = Math.floor((i + j) / 2);
if (nums[mid] > target) {
j = mid - 1;
} else {
i = mid + 1;
}
}
return (j < 0 || nums[j] !== target) ? -1 : j;
}