Скачать или смотреть Swim in Rising Water | LeetCode 778 | Priority Queue | Dijkstra's | Java Code | Developer Coder

Welcome to Developer Coder! 🚀
In this video, we’ll dive deep into the LeetCode 778 problem — Swim in Rising Water, and understand how to solve it efficiently using the Dijkstra’s Algorithm approach with a Priority Queue (Min-Heap) in Java 💻

We’ll walk through the logic step-by-step, explain every line of code, and analyze the time and space complexity to help you master graph-based problems and priority queue techniques in competitive programming 🧠🔥

If you’re preparing for MAANG or top tech interviews, this video will help you strengthen your problem-solving and algorithmic thinking skills 💪

📚 What you’ll learn:

How to use Priority Queue / Min Heap in Java
Understanding Dijkstra’s shortest path algorithm in a grid setup
Importance of visited arrays and direction vectors
Efficient coding techniques for graph traversal problems

💡 Topics Covered:

Priority Queue in Java
Dijkstra Algorithm
Interview preparation tips

🧠 LeetCode Problem Details

Problem Name: Swim in Rising Water
LeetCode ID: 778
Difficulty: Hard
Language: Java
Approach Used: Priority Queue + Dijkstra’s Algorithm

Github: https://github.com/abhinavsharma24717...

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