Sliding Window

Subtitle / Summary A standard fixed-window counting problem. This ACERS guide explains the sliding-window model, engineering use cases, and runnable multi-language solutions. Reading time: 10–12 min Tags: sliding window, string, fixed window SEO keywords: Maximum Number of Vowels, Sliding Window, Fixed Window Meta description: Fixed-window sliding count for maximum vowels with engineering applications. Target Readers LeetCode learners who want stable templates Engineers working on windowed metrics Anyone building real-time counters Background / Motivation Many engineering tasks ask: “What is the maximum count in any fixed-length window?” Recomputing every window is O(nk). Sliding window updates in O(1) per step, giving O(n). ...

Title LeetCode 239: Sliding Window Maximum (Monotonic Queue ACERS Guide) Subtitle / Summary Sliding Window Maximum is the classic combo of sliding window + monotonic queue. This article follows the ACERS template with reusable engineering patterns and multi-language implementations. Estimated reading time: 12–15 minutes Tags: sliding window, monotonic queue, array SEO keywords: Sliding Window Maximum, monotonic queue, deque, O(n) Meta description: Monotonic-queue solution for Sliding Window Maximum with engineering practice and multi-language implementations. Target Readers People practicing LeetCode / Hot100 Mid-level developers who want a reusable “sliding window + monotonic queue” template Engineers working on real-time monitoring, log analytics, or risk control Background / Motivation Rolling-window maximum appears everywhere: latency monitoring, price spikes, temperature alerts, real-time smoothing, and many more. The brute-force approach recomputes max per window in O(nk), which is unacceptable for large n. The monotonic queue reduces it to O(n), making it the most practical engineering choice. ...