Sliding Window Maximum Using Deque
📖 Scenario: Imagine you are analyzing temperature readings taken every minute. You want to find the highest temperature in every 3-minute window to monitor sudden heat spikes.
🎯 Goal: Build a program that uses a deque to find the maximum value in every sliding window of size 3 from a list of temperature readings.
📋 What You'll Learn
Create an array called
temps with exactly these values: {4, 3, 5, 4, 3, 3, 6, 7}Create an integer variable called
k and set it to 3Implement the sliding window maximum logic using a deque data structure
Print the maximum values for each sliding window separated by spaces
💡 Why This Matters
🌍 Real World
Sliding window maximum is used in real-time data analysis like monitoring temperatures, stock prices, or network traffic to quickly find peaks in a moving time frame.
💼 Career
Understanding sliding window techniques and deque data structures is important for software engineers working on performance-critical applications and real-time data processing.
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