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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.
Apr 25, 2024 · If it is impossible to rot every orange then simply return -1. Minimum time required to rotten all oranges. Examples: Input: arr [] [C] = { {2, 1, 0, 2, 1}, {1, 0, 1, 2, 1}, {1, 0, 0, 2, 1}}; Output: 2. Explanation: At 0th time frame: {2, 1, 0, 2, 1} {1, 0, 1, 2, 1} {1, 0, 0, 2, 1} At 1st time frame: {2, 2, 0, 2, 2} {2, 0, 2, 2, 2} {1, 0, 0, 2, 2}
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.
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.
Apr 26, 2024 · In this tutorial, we delve into the intriguing world of rotting oranges and explore algorithms to minimize the time required for all oranges to become rotten. Join us as we dissect the problem, analyze various scenarios, and devise strategies to expedite the rotting process while adhering to logical constraints.
Can you solve this real interview question? Rotting Oranges - Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.
Problem Statement. 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.
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The Rotting Oranges problem on LeetCode asks you to solve a problem where you are given a 2D grid representing the initial status of a bunch of oranges, with values of 0 representing an empty cell, 1 representing a fresh orange, and 2 representing a rotten orange.
Mar 27, 2024 · In the rotting oranges problem, we are given a matrix consisting of three numbers 0, 1, and 2. Here 0, 1, and 2 represent no orange, fresh orange, and rotten orange, respectively. A rotten orange can rot its adjacent fresh orange in a single time frame.
