In this post, we are going to solve the Search Insert Position Leetcode Solution problem of Leetcode. This Leetcode problem is done in many programming languages like C++, Java, and Python.

Problem
Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
You must write an algorithm with O(log n)
runtime complexity.
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
-104 <= nums[i] <= 104
nums
contains distinct values sorted in ascending order.-104 <= target <= 104
Now, let’s see the leetcode solution of Search Insert Position Leetcode Solution.
Search Insert Position Leetcode Solution in Python
class Solution: def searchInsert(self, nums: List[int], target: int) -> int: l = 0 r = len(nums) while l < r: m = (l + r) // 2 if nums[m] == target: return m if nums[m] < target: l = m + 1 else: r = m return l
Search Insert Position Leetcode Solution in CPP
class Solution { public: int searchInsert(vector<int>& nums, int target) { int l = 0; int r = nums.size(); while (l < r) { const int m = (l + r) / 2; if (nums[m] == target) return m; if (nums[m] < target) l = m + 1; else r = m; } return l; } };
Search Insert Position Leetcode Solution in Java
class Solution { public int searchInsert(int[] nums, int target) { int l = 0; int r = nums.length; while (l < r) { final int m = (l + r) / 2; if (nums[m] == target) return m; if (nums[m] < target) l = m + 1; else r = m; } return l; } }
Note: This problem Search Insert Position is generated by Leetcode but the solution is provided by Chase2learn This tutorial is only for Educational and Learning purposes.
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