Find Minimum Time to Reach Last Room I | Detailed Explanation | Leetcode 3341 | codestorywithMIK
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Dijkstra's Algorithm | PART-1 - • Dijkstra's Algorithm | PART-1 | Graph...
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Hi Everyone, this is the 73rd video of our Playlist "Graphs : Popular Interview Problems".
Now we will be solving a good Graph practice problem on Dijkstra's Algorithm - Find Minimum Time to Reach Last Room I | Detailed Explanation | Dry Run | Leetcode 3341 | codestorywithMIK
We will see how simply this is nothing but Dijkstra's Algorithm with detailed dry run. We will also see why greedy fails.
Problem Name : Find Minimum Time to Reach Last Room I | Detailed Explanation | Dry Run | Leetcode 3341 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Graph/Dijkstra'a Based Problems/Find Minimum Time to Reach Last Room I.cpp
Leetcode Link : https://leetcode.com/problems/find-minimum-time-to-reach-last-room-i
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Video Summary :
The approach uses Dijkstra's algorithm to find the minimum time required to reach the bottom-right cell from the top-left cell in a grid. Each cell has a specific time constraint, and the traveler must wait if they arrive too early.
The algorithm maintains a priority queue to always process the cell with the least arrival time first. At each step, it explores neighboring cells, calculates the earliest possible arrival time considering the wait,
and updates the result if a faster path is found. This ensures the shortest time path is calculated efficiently.
✨ Timelines✨
00:00 - Introduction
0:20 - Motivation
0:49 - Problem Explanation
8:16 - Thought Process & Why Greedy Fails ?
12:38 - Why Dijkstra's Algorithm ?
16:23 - Recap Dijkstra's Algorithm
20:43 - Story To Code
28:47 - Coding it up
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