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

Brushstrokes: Divisionism

Seurat intended to use optical mixing of many tiny dots of colour, often contrasting, in Divisionism. How this worked out in his major paintings.

via The Eclectic Light Company

no two things the same

Tony Feher, Come Out and Play Stephen Jay (detail), 2013

via bookbear express

Microsoft Plugs Nearly 400 Security Holes

Microsoft today released updates to remedy at least 398 security vulnerabilities in its Windows operating systems and supported software, including one weakness that is already being actively exploited and two others that were publicly detailed prior to today.

via Krebs on Security