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LeetCode 209: Minimum Size Subarray Sum | Java Solution | Sliding Window
📝 In this tutorial, I solve the #leetcode minimum size subarray sum problem using the #slidingwindow technique. Given an array of positive integers and a target sum, find the minimum length subarray that sums to at least the target.
⏱️ **Time Complexity**: O(n) - single pass through the array
🧮 **Space Complexity**: O(1) - constant extra space
## ⏰ Timestamps
00:00 - Understanding problem statement
00:53 - Brute Force Approach
02:45 - Brute Force - Big O Notation
03:46 - Optimized solution - Sliding Window
04:23 - Simulating sliding window
07:23 - Sliding Window - Big O Notation
08:00 - Java solution walk-through
09:14 - Solution analysis - runtime + memory
## 🔑 Key Concepts
- Sliding Window Technique
- Two-pointer approach
- Subarray manipulation
- Variable size window
## 💡 Learning Points
- How to efficiently find a minimum size subarray with a constraint
- When and how to shrink a sliding window
- Optimizing from O(n²) brute force to O(n) sliding window
- Handling edge cases like empty arrays or impossible targets
## 🔄 Related Problems
- LeetCode 3: Longest Substring Without Repeating Characters
- LeetCode 76: Minimum Window Substring
- LeetCode 713: Subarray Product Less Than K
- LeetCode 1004: Max Consecutive Ones III
## 👥 Target Audience
This video is for software engineers preparing for coding interviews and those wanting to master the sliding window technique in Java.
## 📚 Prerequisites
- Basic Java knowledge
- Understanding of arrays and loops
- Familiarity with time and space complexity concepts
## 🔗 Links
- Problem: https://leetcode.com/problems/minimum-size-subarray-sum/
- Solution Code: https://leetcode.com/problems/minimum-size-subarray-sum/solutions/6814708/sliding-window-solution-in-java-with-vid-1pqs
## 💭 Additional Tips
- Pay special attention to how we adjust the window size dynamically
- Remember to check if a solution is possible at all
- Notice how we track the minimum length while expanding and contracting the window
## 🙏 Call to Action
If you found this solution helpful, please subscribe to get more #codinginterview preparation content! Leave your questions or alternative approaches in the comments below. Let me know what #leetcode problems you'd like me to cover next! #java #algorithms #slidingwindow #subarray
Видео LeetCode 209: Minimum Size Subarray Sum | Java Solution | Sliding Window канала Code Scribbler
⏱️ **Time Complexity**: O(n) - single pass through the array
🧮 **Space Complexity**: O(1) - constant extra space
## ⏰ Timestamps
00:00 - Understanding problem statement
00:53 - Brute Force Approach
02:45 - Brute Force - Big O Notation
03:46 - Optimized solution - Sliding Window
04:23 - Simulating sliding window
07:23 - Sliding Window - Big O Notation
08:00 - Java solution walk-through
09:14 - Solution analysis - runtime + memory
## 🔑 Key Concepts
- Sliding Window Technique
- Two-pointer approach
- Subarray manipulation
- Variable size window
## 💡 Learning Points
- How to efficiently find a minimum size subarray with a constraint
- When and how to shrink a sliding window
- Optimizing from O(n²) brute force to O(n) sliding window
- Handling edge cases like empty arrays or impossible targets
## 🔄 Related Problems
- LeetCode 3: Longest Substring Without Repeating Characters
- LeetCode 76: Minimum Window Substring
- LeetCode 713: Subarray Product Less Than K
- LeetCode 1004: Max Consecutive Ones III
## 👥 Target Audience
This video is for software engineers preparing for coding interviews and those wanting to master the sliding window technique in Java.
## 📚 Prerequisites
- Basic Java knowledge
- Understanding of arrays and loops
- Familiarity with time and space complexity concepts
## 🔗 Links
- Problem: https://leetcode.com/problems/minimum-size-subarray-sum/
- Solution Code: https://leetcode.com/problems/minimum-size-subarray-sum/solutions/6814708/sliding-window-solution-in-java-with-vid-1pqs
## 💭 Additional Tips
- Pay special attention to how we adjust the window size dynamically
- Remember to check if a solution is possible at all
- Notice how we track the minimum length while expanding and contracting the window
## 🙏 Call to Action
If you found this solution helpful, please subscribe to get more #codinginterview preparation content! Leave your questions or alternative approaches in the comments below. Let me know what #leetcode problems you'd like me to cover next! #java #algorithms #slidingwindow #subarray
Видео LeetCode 209: Minimum Size Subarray Sum | Java Solution | Sliding Window канала Code Scribbler
leetcode java solution minimum size subarray sum sliding window coding interview algorithm subarray problem two pointer leetcode 209 leetcode medium time complexity space complexity array problem java programming coding interview preparation leetcode java sliding window technique efficient algorithm coding patterns interview preparation
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14 июня 2025 г. 12:00:14
00:09:33
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