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1708. Largest Subarray Length K

Description

An array A is larger than some array B if for the first index i where A[i] != B[i], A[i] > B[i].

For example, consider 0-indexing:

  • [1,3,2,4] > [1,2,2,4], since at index 1, 3 > 2.
  • [1,4,4,4] < [2,1,1,1], since at index 0, 1 < 2.

A subarray is a contiguous subsequence of the array.

Given an integer array nums of distinct integers, return the largest subarray of nums of length k.

 

Example 1:

Input: nums = [1,4,5,2,3], k = 3
Output: [5,2,3]
Explanation: The subarrays of size 3 are: [1,4,5], [4,5,2], and [5,2,3].
Of these, [5,2,3] is the largest.

Example 2:

Input: nums = [1,4,5,2,3], k = 4
Output: [4,5,2,3]
Explanation: The subarrays of size 4 are: [1,4,5,2], and [4,5,2,3].
Of these, [4,5,2,3] is the largest.

Example 3:

Input: nums = [1,4,5,2,3], k = 1
Output: [5]

 

Constraints:

  • 1 <= k <= nums.length <= 105
  • 1 <= nums[i] <= 109
  • All the integers of nums are unique.

 

Follow up: What if the integers in nums are not distinct?

Solutions

Solution 1: Simulation

All integers in the array are distinct, so we can first find the index of the maximum element in the range $[0,..n-k]$, and then take $k$ elements starting from this index.

The time complexity is $O(n)$, where $n$ is the length of the array. Ignoring the space consumption of the answer, the space complexity is $O(1)$.

  • class Solution {
        public int[] largestSubarray(int[] nums, int k) {
            int j = 0;
            for (int i = 1; i < nums.length - k + 1; ++i) {
                if (nums[j] < nums[i]) {
                    j = i;
                }
            }
            return Arrays.copyOfRange(nums, j, j + k);
        }
    }
    
  • class Solution {
    public:
        vector<int> largestSubarray(vector<int>& nums, int k) {
            auto i = max_element(nums.begin(), nums.end() - k + 1);
            return {i, i + k};
        }
    };
    
  • class Solution:
        def largestSubarray(self, nums: List[int], k: int) -> List[int]:
            i = nums.index(max(nums[: len(nums) - k + 1]))
            return nums[i : i + k]
    
    
  • func largestSubarray(nums []int, k int) []int {
    	j := 0
    	for i := 1; i < len(nums)-k+1; i++ {
    		if nums[j] < nums[i] {
    			j = i
    		}
    	}
    	return nums[j : j+k]
    }
    
  • function largestSubarray(nums: number[], k: number): number[] {
        let j = 0;
        for (let i = 1; i < nums.length - k + 1; ++i) {
            if (nums[j] < nums[i]) {
                j = i;
            }
        }
        return nums.slice(j, j + k);
    }
    
    
  • impl Solution {
        pub fn largest_subarray(nums: Vec<i32>, k: i32) -> Vec<i32> {
            let mut j = 0;
            for i in 1..=nums.len() - (k as usize) {
                if nums[i] > nums[j] {
                    j = i;
                }
            }
            nums[j..j + (k as usize)].to_vec()
        }
    }
    
    

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