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Given a grid of dimension nxm where each cell in the grid can have values 0, 1 or 2 which has the following meaning: 0 : Empty cell. 1 : Cells have fresh oranges. 2 : Cells have rotten oranges. We have to determine what is the earliest time after which all the oranges are rotten.
Apr 25, 2024 · Rotten Oranges. Try It! Naive Approach: Traverse through all oranges in multiple rounds. In every round, rot the oranges to the adjacent position of oranges that were rotten in the last round. Follow the steps below to solve the problem: Create a variable no = 2 and changed = false.
Rotting Oranges - You are given an m x n grid where each cell can have one of three values: * 0 representing an empty cell, * 1 representing a fresh orange, or * 2 representing a rotten orange. Every minute, any fresh orange that is 4-directionally adjacent to a rotten orange becomes rotten.
Dec 26, 2022 · Any orange can be rotten by its nearest rotten orange. So, for every orange which is not rotten yet, we find its minimum distance from rotten orange, Then we take the maximum of all which will represent the minimum time required to rot all oranges.
Nov 11, 2021 · The key observation is that fresh oranges adjacent to rotten oranges are rotten on day 1, those adjacent to those oranges are rotten on day 2, and so on. The phenomenon is similar to a level order traversal on a graph, where all the initial rotten oranges act as root nodes.
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The key observation is that fresh oranges adjacent to rotten oranges are rotten on day 1, those adjacent to those oranges are rotten on day 2, and so on. The phenomenon is similar to a level order traversal on a graph, where all the initial rotten oranges act as root nodes.
Description. In a given grid, each cell can have one of three values: the value 0 representing an empty cell; the value 1 representing a fresh orange; the value 2 representing a rotten orange. Every minute, any fresh orange that is adjacent (4-directionally) to a rotten orange becomes rotten.
