Search Insert Position
Easy
Binary SearchArray
Problem
Given a sorted array of distinct integers and a target, return the index if found. If not, return the index where it would be inserted to keep the array sorted. Must run in O(log n).
Example 1
Input: nums = [1,3,5,6], target = 5
Output: 2
Example 2
Input: nums = [1,3,5,6], target = 2
Output: 1
Example 3
Input: nums = [1,3,5,6], target = 7
Output: 4
Constraints
- 1 ≤ nums.length ≤ 10⁴
- sorted ascending, distinct
Approach — Binary Search
This is a Binary Search problem. The idea: repeatedly halve the search space, discarding the half that can't contain the answer. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(log n) time.
Solution code
Python
class Solution:
def searchInsert(self, nums, target):
lo, hi = 0, len(nums)
while lo < hi:
mid = (lo + hi) // 2
if nums[mid] < target:
lo = mid + 1
else:
hi = mid
return lo
Java
class Solution {
public int searchInsert(int[] nums, int target) {
int lo = 0, hi = nums.length;
while (lo < hi) {
int mid = lo + (hi - lo) / 2;
if (nums[mid] < target) lo = mid + 1;
else hi = mid;
}
return lo;
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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