Largest Subarray Length K — LeetCode 1708 Python Solution

EasyLeetCode PremiumGreedyArray
Problem
#1708
Pattern
Greedy
Reading time
2 min

The problem

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.

Example

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].

Python solution

Python
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]

Complexity

MeasureComplexity
TimeO(n), where n is the length of the array
SpaceO(1) auxiliary

Pattern: Greedy

Take the locally best option every time — when you can prove that never costs you later. LeetCode 1708. Largest Subarray Length K is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Greedy.

The greedy guide has the Python template for the pattern and the 346 LeetCode problems that use it.

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Frequently asked questions

How hard is LeetCode 1708. Largest Subarray Length K?
LeetCode 1708. Largest Subarray Length K is rated Easy on LeetCode.
What is the time complexity of LeetCode 1708. Largest Subarray Length K?
The Python solution on this page runs in O(n), where n is the length of the array.
What is the space complexity of LeetCode 1708. Largest Subarray Length K?
The Python solution on this page uses O(1) auxiliary space.
What topics does LeetCode 1708. Largest Subarray Length K cover?
LeetCode 1708. Largest Subarray Length K is tagged Greedy and Array on LeetCode.
Is LeetCode 1708. Largest Subarray Length K a premium problem?
Yes. LeetCode 1708. Largest Subarray Length K is a LeetCode Premium problem, so the full statement and test cases require a paid LeetCode subscription.

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