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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 ti.
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 · 2: Cells have rotten oranges; The task is to the minimum time required so that all the oranges become rotten. A rotten orange at index (i,j ) can rot other fresh oranges which are its neighbors (up, down, left, and right). If it is impossible to rot every orange then simply return -1.
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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May 27, 2024 · Given a matrix of dimension M * N, where each cell in the matrix 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. The task is to find the minimum time required so that all the oranges become rotten.
Sep 13, 2020 · Problem statement. You have been given a grid containing some oranges. Each cell of this grid has one of the three integers values: Value 0 - representing an empty cell. Value 1 - representing a fresh orange. Value 2 - representing a rotten orange. Every second, any fresh orange that is adjacent (4-directionally) to a rotten orange becomes rotten.
In this coding tutorial, we tackle the classic "Rotten Oranges" problem using the powerful Breadth-First Search (BFS) algorithm. You'll learn: Understand the "Rotten Oranges" problem and its ...
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.
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.
