package array; /** * Created by gouthamvidyapradhan on 10/03/2019 A group of two or more people wants to meet and * minimize the total travel distance. You are given a 2D grid of values 0 or 1, where each 1 marks * the home of someone in the group. The distance is calculated using Manhattan Distance, where * distance(p1, p2) = |p2.x - p1.x| + |p2.y - p1.y|. * *
Example: * *
Input: * *
1 - 0 - 0 - 0 - 1 | | | | | 0 - 0 - 0 - 0 - 0 | | | | | 0 - 0 - 1 - 0 - 0 * *
Output: 6 * *
Explanation: Given three people living at (0,0), (0,4), and (2,2): The point (0,2) is an ideal * meeting point, as the total travel distance of 2+2+2=6 is minimal. So return 6. * *
Solution: O(N ^ 2 + M ^ 2) + O(N x M): Calculate the total number of persons in each row and * each column and then take a minimum of cartesian product of each row and each column. */ public class BestMeetingPoint { /** * Main method * * @param args */ public static void main(String[] args) { int[][] grid = {{1, 0, 0, 0, 1}, {0, 0, 0, 0, 0}, {0, 0, 1, 0, 0}}; System.out.println(new BestMeetingPoint().minTotalDistance(grid)); } public int minTotalDistance(int[][] grid) { int[] countR = new int[grid.length]; int[] countC = new int[grid[0].length]; int[] distR = new int[grid.length]; int[] distC = new int[grid[0].length]; for (int i = 0; i < grid.length; i++) { for (int j = 0; j < grid[0].length; j++) { if (grid[i][j] == 1) { countR[i]++; countC[j]++; } } } for (int i = 0; i < distR.length; i++) { for (int j = 0; j < distR.length; j++) { if (countR[j] != 0) { distR[i] += Math.abs(j - i) * countR[j]; } } } for (int i = 0; i < distC.length; i++) { for (int j = 0; j < distC.length; j++) { if (countC[j] != 0) { distC[i] += Math.abs(j - i) * countC[j]; } } } int min = Integer.MAX_VALUE; for (int i = 0; i < distR.length; i++) { for (int j = 0; j < distC.length; j++) { min = Math.min(min, distR[i] + distC[j]); } } return min; } }