How do I implement sliding window problems in Swift?

Sliding window problems are a common algorithmic technique used to solve a variety of problems related to contiguous subarrays or substrings. It involves maintaining a "window" of elements that move across the data structure, allowing for efficient calculations and comparisons without the need for nested loops.

Example: Maximum Sum of a Subarray of Fixed Size

Here’s a classic example of a sliding window problem: finding the maximum sum of a subarray of a given fixed size. The following Swift code demonstrates this approach:

// Function to find maximum sum of a subarray of size k func maxSumSubarray(arr: [Int], k: Int) -> Int? { guard arr.count >= k else { return nil } var maxSum = 0 var windowSum = 0 // Calculate sum of the first window for i in 0..

Sliding window algorithm Swift maximum sum subarray fixed size contiguous subarrays algorithm technique

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