Easy
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
Example 4:
Input: nums = [1,3,5,6], target = 0
Output: 0
Example 5:
Input: nums = [1], target = 0
Output: 0
Constraints:
1 <= nums.length <= 104
-104 <= nums[i] <= 104
nums
contains distinct values sorted in ascending order.-104 <= target <= 104
To solve the “Search Insert Position” problem in Java with a Solution
class, we can follow these steps:
Solution
class.searchInsert
that takes an integer array nums
and an integer target
as input and returns an integer representing the index where target
would be inserted in order.target
.left
to 0 and the right pointer right
to the length of nums
minus 1.left
is less than or equal to right
:
mid
as (left + right) / 2
.nums[mid]
is equal to target
, return mid
.target
is less than nums[mid]
, update right = mid - 1
.target
is greater than nums[mid]
, update left = mid + 1
.target
is not found in nums
, return the value of left
, which represents the index where target
would be inserted in order.Here’s the implementation:
public class Solution {
public int searchInsert(int[] nums, int target) {
int left = 0;
int right = nums.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (nums[mid] == target) {
return mid;
} else if (target < nums[mid]) {
right = mid - 1;
} else {
left = mid + 1;
}
}
return left;
}
}
This implementation provides a solution to the “Search Insert Position” problem in Java. It returns the index where target
would be inserted in nums
using binary search, with a time complexity of O(log n).