Matrix Cells in Distance Order - Sort - Easy - LeetCode
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Matrix Cells in Distance Order - Sort - Easy - LeetCode

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  • 1The problem involves sorting matrix cells by their Manhattan distance from a given cell (r0, c0).
  • 2The solution uses a breadth-first search approach to explore and enqueue neighboring cells.
  • 3Both time and space complexity of the algorithm are O(n), where n is the total number of cells in the matrix.

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"The problem involves sorting matrix cells by their Manhattan distance from a given cell (r0, c0)."

Matrix Cells in Distance Order - Sort - Easy - LeetCode

We are given a matrix with R rows and C columns has cells with integer coordinates (r, c), where 0 <= r < R and 0 <= c < C.

Additionally, we are given a cell in that matrix with coordinates (r0, c0).

Return the coordinates of all cells in the matrix, sorted by their distance from (r0, c0) from smallest distance to largest distance. Here, the distance between two cells (r1, c1) and (r2, c2) is the Manhattan distance, |r1 - r2| + |c1 - c2|. (You may return the answer in any order that satisfies this condition.)

Example 1:

Input: R = 1, C = 2, r0 = 0, c0 = 0 Output: [[0,0],[0,1]] Explanation: The distances from (r0, c0) to other cells are: [0,1] Example 2:

Input: R = 2, C = 2, r0 = 0, c0 = 1 Output: [[0,1],[0,0],[1,1],[1,0]] Explanation: The distances from (r0, c0) to other cells are: [0,1,1,2] The answer [[0,1],[1,1],[0,0],[1,0]] would also be accepted as correct. Example 3:

Input: R = 2, C = 3, r0 = 1, c0 = 2 Output: [[1,2],[0,2],[1,1],[0,1],[1,0],[0,0]] Explanation: The distances from (r0, c0) to other cells are: [0,1,1,2,2,3] There are other answers that would also be accepted as correct, such as [[1,2],[1,1],[0,2],[1,0],[0,1],[0,0]].

Note:

1 <= R <= 100 1 <= C <= 100 0 <= r0 < R 0 <= c0 < C

public class Solution { 
 public int[][] AllCellsDistOrder(int R, int C, int r0, int c0) {
 var ans=new List<int[]>();
 var queue=new Queue<int[]>();
 
 var visited=new int[R,C];
 
 queue.Enqueue(new int[]{r0,c0});
 visited[r0,c0]=1;
 while(queue.Count>0){
 var current=queue.Dequeue();
 ans.Add(current);
 enqueue(R,C,current[0]-1,current[1], visited,queue);
 enqueue(R,C,current[0]+1,current[1],visited,queue);
 enqueue(R,C,current[0],current[1]-1,visited,queue);
 enqueue(R,C,current[0],current[1]+1,visited,queue); 
 }
 return ans.ToArray();
 }
 
 private void enqueue(int R, int C, int i,int j, int[,] visited, Queue<int[]> queue){
 if(i>=0&&i<R&&j>=0&&j<C&&visited[i,j]==0){
 queue.Enqueue(new int[]{i,j});
 visited[i,j]=1;
 }
 }
}

Time Complexity: O(n)

Space Complexity: O(n)

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sumitc91

Published on 5 October 2020 · 1 min read · 293 words

Part of AskGif Blog · coding

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