Sliding Window Optimization | Dataford Interview Questions

Solve a problem using the Sliding Window technique.

Implement max_sum_subarray(nums, k), which returns the maximum sum among all contiguous subarrays of length k. The input is an integer array nums and a valid positive integer k; return an integer. For nums = [2, 1, 5, 1, 3, 2] and k = 3, return 9, from [5, 1, 3]. For nums = [-4, -2, -7] and k = 2, return -6, from [-4, -2].

Constraints

1 <= k <= len(nums)
1 <= len(nums) <= 10^4
-10^9 <= nums[i] <= 10^9
nums contains integers

Function Signature

def max_sum_subarray(nums, k):

Your question is Sliding Window Optimization. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Solve a problem using the Sliding Window technique.

Constraints

1 <= k <= len(nums)
1 <= len(nums) <= 10^4
-10^9 <= nums[i] <= 10^9
nums contains integers

Function Signature

def max_sum_subarray(nums, k):

Your question is Sliding Window Optimization. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.