LeetCode 1976 | Number of Ways to Arrive at Destination | Dijkstra Algorithm | C++

🚀 LeetCode 1976 - Number of Ways to Arrive at Destination In this video, I explain how to solve LeetCode 1976 using Dijkstra's Algorithm while simultaneously counting the number of shortest paths to the destination. 📌 Key Idea Use Dijkstra's Algorithm to find the shortest distance from the source to every node. Maintain a separate array to store the number of ways to reach each node with the shortest distance. Update both distance and path count during the traversal. Return the total number of shortest paths to the destination modulo 10 9 +7. 🧠 Concepts Covered ✅ Dijkstra's Algorithm ✅ Priority Queue (Min Heap) ✅ Shortest Paths in Weighted Graphs ✅ Path Counting Technique ✅ Graph Interview Problems ⏱ Complexity Time Complexity: O((V + E) log V) Space Complexity: O(V) 💻 Language C++ This problem is a great example of combining shortest path algorithms with dynamic path counting, a pattern frequently asked in coding interviews. #leetcode #leetcode1976 #dijkstra #graphs #cpp #dsa #codinginterview #algorithms #competitiveprogramming #softwareengineer #placements #takeuforward