Minimum Time to Visit a Cell In a Grid | Using Studied Concept | Leetcode 2577 | codestorywithMIK
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This is the 60th Video of our Playlist "Graphs : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a good Graph practice problem of Dijkstra : Minimum Time to Visit a Cell In a Grid | Using Already Studied Concept | Leetcode 2577 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Minimum Time to Visit a Cell In a Grid | Using Already Studied Concept | Leetcode 2577 | 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/Minimum Time to Visit a Cell In a Grid.cpp
Leetcode Link : https://leetcode.com/problems/minimum-time-to-visit-a-cell-in-a-grid
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Summary :
This solution uses a priority queue-based BFS (similar to Dijkstra’s algorithm) to find the minimum time to reach the bottom-right corner of the grid. Starting from (0,0), it explores neighboring cells and pushes them into the queue with the earliest possible time based on the grid's constraints. If a cell's time is less than or equal to current time + 1, it can be visited immediately; otherwise, the wait time is adjusted based on parity. The algorithm continues until the destination is reached or all possibilities are exhausted. If the destination is unreachable, it returns -1.
✨ Timelines✨
00:00 - Introduction
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