Search Insert Position

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

Solution

class Solution {
    public int searchInsert(int[] nums, int target) {
        var left = 0;
        var right = nums.length - 1;

        while (left <= right) {
            var middle = left + ((right - left) / 2);
            var n = nums[middle];
            if (n == target) {
                return middle;
            } else if (n < target) {
                // check the right half
                left = middle + 1;
            } else {
                // check the left half
                right = middle - 1;
            }
        }

        return left;
    }
}

Standard Library

class Solution {
    public int searchInsert(int[] nums, int target) {
        var pos = Arrays.binarySearch(nums, target);
        if (pos < 0) {
            pos = (pos + 1) * -1;
        }
        return pos;
    }
}

Recent posts from blogs that I like

In Memoriam Sofonisba Anguissola, who died 400 years ago

Completed her training in about 1553, met Michelangelo in Rome in 1554, where she became an established portraitist, invited to the court of King Philip II of Spain, advised the young van Dyck, and died in her early 90s.

via The Eclectic Light Company

What happens if AI labs train for pelicans riding bicycles?

via Simon Willison

Valve is about to win the console generation

Valve does nothing and still wins

via Xe Iaso