Sliding Window Maximum and Top K Frequent Elements Using Monotonic Queue and Priority Queue
Sliding Window Maximum
Problem Statement: Given an array nums and a sliding window of size k, find the maximum value in each window position as it moves from left to right.
Approach Analysis
The brute-force approach iterates through each window position and finds the maximum by comparing all k elements, resulting in O(n×k) time complexity.
A ma ...
Posted on Mon, 21 Sep 2026 16:25:54 +0000 by ksteuber
Understanding Monotonic Queues: Efficient Sliding Window Optimization
A monotonic queue is a specialized data structure that maintains elements in either strictly increasing or decreasing order. Unlike standard queues, a monotonic queue allows operations at both the front and rear, functioning as a double-ended queue (deque) where elements are kept in sorted order.
The Core Principle
The fundamental insight behin ...
Posted on Thu, 10 Sep 2026 16:00:59 +0000 by stef686
Stack and Queue Applications: Reverse Polish Notation, Sliding Window Maximum, and Top K Frequent Elements
Problem Solving Framework
Define input and output specifications
Analyze time and space complexity
Decompose complex problems: Break down into smaller, solvable subproblems (stack and queue operations, variations of stack/queue applications) – (Focus on patttern recognition)
Select appropriate algorithms: Based on decomposed subproblems, choos ...
Posted on Mon, 22 Jun 2026 16:26:29 +0000 by mitcho