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Find the Power of K-Size Subarrays I

3254. Find the Power of K-Size Subarrays I

Difficulty: Medium

Topics: Array, Sliding Window

You are given an array of integers nums of length n and a positive integer k.

The power of an array is defined as:

  • Its maximum element if all of its elements are consecutive and sorted in ascending order.
  • -1 otherwise.

You need to find the power of all subarrays1 of nums of size k.

Return an integer array results of size n - k 1, where results[i] is the power of nums[i..(i k - 1)].

Example 1:

  • Input: nums = [1,2,3,4,3,2,5], k = 3
  • Output: [3,4,-1,-1,-1]
  • Explanation: There are 5 subarrays of nums of size 3:
    • [1, 2, 3] with the maximum element 3.
    • [2, 3, 4] with the maximum element 4.
    • [3, 4, 3] whose elements are not consecutive.
    • [4, 3, 2] whose elements are not sorted.
    • [3, 2, 5] whose elements are not consecutive.

Example 2:

  • Input: nums = [2,2,2,2,2], k = 4
  • Output: [-1,-1]

Example 3:

  • Input: nums = [3,2,3,2,3,2], k = 2
  • Output: [-1,3,-1,3,-1]

Constraints:

  • 1
  • 1 5
  • 1

Hint:

  1. Can we use a brute force solution with nested loops and HashSet?

Solution:

We can break down the task as follows:

Problem Breakdown:

  1. We are given an array nums of length n, and a positive integer k. We need to consider all subarrays of size k and compute their power.
  2. The power of a subarray is:
    • The maximum element of the subarray if all the elements are consecutive and sorted in ascending order.
    • -1 otherwise.
  3. We need to return an array of size n - k 1, where each element corresponds to the power of the respective subarray.

Plan:

  1. Sliding Window Approach: We will slide over the array and check each subarray of length k.
  2. Check if the Subarray is Sorted: We need to check if the subarray has elements that are consecutive and sorted in ascending order.
  3. Return Maximum or -1: If the subarray is valid, we return the maximum element. Otherwise, return -1.

Steps:

  1. Check if the subarray is sorted:
    • A sorted subarray with consecutive elements should have the property: nums[i 1] - nums[i] == 1 for every i in the subarray.
  2. Sliding Window:
    • For each subarray of length k, check if it is sorted and return the maximum element if valid, otherwise return -1.

Let's implement this solution in PHP: 3254. Find the Power of K-Size Subarrays I

<?php /**
 * @param Integer[] $nums
 * @param Integer $k
 * @return Integer[]
 */
function resultsArray($nums, $k) {
    ...
    ...
    ...
    /**
     * go to ./solution.php
     */
}

// Test cases
print_r(resultsArray([1, 2, 3, 4, 3, 2, 5], 3));  // Output: [3, 4, -1, -1, -1]
print_r(resultsArray([2, 2, 2, 2, 2], 4));  // Output: [-1, -1]
print_r(resultsArray([3, 2, 3, 2, 3, 2], 2));  // Output: [-1, 3, -1, 3, -1]
?>

Explanation:

  • Sliding Window: We use a for loop from i = 0 to i = n - k to consider all subarrays of size k. For each subarray, we use array_slice() to extract the subarray.
  • Sorting Check: For each subarray, we check if it is sorted with consecutive elements by iterating through the subarray and checking if each pair of consecutive elements has a difference of 1.
  • Result: If the subarray is valid, we append the maximum value of the subarray to the result. Otherwise, we append -1.

Time Complexity:

  • We are iterating over n - k 1 subarrays.
  • For each subarray, we check if the elements are consecutive, which takes O(k) time.
  • Thus, the overall time complexity is O((n - k 1) * k) which simplifies to O(n * k).

Edge Case Considerations:

  • If k = 1, every subarray is trivially sorted (it only contains one element), and the power of each subarray will be the element itself.
  • If the subarray is not consecutive, it will immediately return -1.

Example Outputs:

  1. For nums = [1, 2, 3, 4, 3, 2, 5], k = 3, the output is [3, 4, -1, -1, -1].
  2. For nums = [2, 2, 2, 2, 2], k = 4, the output is [-1, -1].
  3. For nums = [3, 2, 3, 2, 3, 2], k = 2, the output is [-1, 3, -1, 3, -1].

This solution should efficiently work for the problem constraints.

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  1. Subarray: A subarray is a contiguous non-empty sequence of elements within an array. ↩

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