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| 1 | +import java.util.ArrayList; |
| 2 | +import java.util.Arrays; |
| 3 | + |
| 4 | + |
| 5 | +/** |
| 6 | + * Given a m x n grid filled with non-negative numbers, |
| 7 | + * find a path from top left to bottom right which minimizes the sum of all numbers along its path. |
| 8 | + * <p/> |
| 9 | + * Note: You can only move either down or right at any point in time. |
| 10 | + * <p/> |
| 11 | + * If we could move to any direction in the path, then we kind of use |
| 12 | + * Dijkstra's algorithm to solve this problem. The difference with the |
| 13 | + * shotest path problem in graph is that in the graph, different node |
| 14 | + * to one node may have path with different weight. But int the grid, |
| 15 | + * each neighbor to this cell would sum with the same value. So if we |
| 16 | + * would also get minimun sum in fisrt calculate for this cell. |
| 17 | + * <p/> |
| 18 | + * Since the question ask to move either right or down only, then the |
| 19 | + * question merely become Robort move question. With dynamic programming |
| 20 | + * we could solve it in O(mn) time complexity. |
| 21 | + */ |
| 22 | +public class MinPathSum { |
| 23 | + public static void main(String[] args) { |
| 24 | + int[][] grid = new int[][]{ |
| 25 | + {1, 3, 1}, |
| 26 | + {1, 5, 1}, |
| 27 | + {4, 2, 1} |
| 28 | + }; |
| 29 | + // result 7 |
| 30 | + DijkstraPathSum(grid); |
| 31 | + minPahtSum(grid); |
| 32 | + |
| 33 | + |
| 34 | + int[][] a2 = new int[][]{{3}}; |
| 35 | + //3 |
| 36 | + DijkstraPathSum(a2); |
| 37 | + minPahtSum(a2); |
| 38 | + |
| 39 | + |
| 40 | + int[][] a3 = new int[][]{ |
| 41 | + {1, 0, 4, 9, 6, 0, 9, 1, 8, 9, 5}, |
| 42 | + {1, 2, 8, 9, 2, 4, 8, 1, 7, 3, 2}, |
| 43 | + {5, 0, 7, 9, 3, 5, 1, 3, 8, 2, 3}, |
| 44 | + {3, 2, 2, 5, 3, 3, 3, 2, 0, 5, 6}, |
| 45 | + {9, 6, 8, 3, 6, 2, 0, 1, 4, 6, 1}, |
| 46 | + {1, 7, 4, 8, 8, 9, 7, 1, 3, 2, 5}, |
| 47 | + {7, 7, 8, 0, 3, 0, 0, 0, 8, 1, 8}, |
| 48 | + {8, 7, 4, 0, 9, 5, 4, 7, 9, 8, 5}, |
| 49 | + {5, 6, 3, 5, 5, 6, 0, 7, 1, 7, 7}, |
| 50 | + {9, 9, 2, 1, 1, 2, 1, 5, 0, 0, 4} |
| 51 | + }; |
| 52 | + //40 |
| 53 | + DijkstraPathSum(a3); |
| 54 | + minPahtSum(a3); |
| 55 | + |
| 56 | + |
| 57 | + } |
| 58 | + |
| 59 | + // only left or down, Dynamic programming to solve this. |
| 60 | + public static void minPahtSum(int[][] grid) { |
| 61 | + if (grid.length == 0) { |
| 62 | + System.out.println("sum path for zero grid " + 0); |
| 63 | + return; |
| 64 | + } |
| 65 | + |
| 66 | + int row = grid.length; |
| 67 | + int col = grid[0].length; |
| 68 | + |
| 69 | + // calculate left edge |
| 70 | + for (int i = row - 1; i > 0; --i) |
| 71 | + grid[i - 1][col - 1] += grid[i][col - 1]; |
| 72 | + |
| 73 | + // calculate bottom edge |
| 74 | + for (int j = col - 1; j > 0; --j) |
| 75 | + grid[row - 1][j - 1] += grid[row - 1][j]; |
| 76 | + |
| 77 | + for (int i = row - 2; i >= 0; --i) { |
| 78 | + for (int j = col - 2; j >= 0; --j) { |
| 79 | + //sum with the less one |
| 80 | + grid[i][j] += |
| 81 | + (grid[i + 1][j] < grid[i][j + 1]) ? |
| 82 | + grid[i + 1][j] : grid[i][j + 1]; |
| 83 | + } |
| 84 | + } |
| 85 | + |
| 86 | + System.out.println(grid[0][0]); |
| 87 | + |
| 88 | + } |
| 89 | + |
| 90 | + // Dijkstra's algorithm |
| 91 | + public static void DijkstraPathSum(int[][] grid){ |
| 92 | + if(grid.length == 0){ |
| 93 | + System.out.println("sum path for zero grid " + 0); |
| 94 | + return; |
| 95 | + } |
| 96 | + |
| 97 | + int row = grid.length; |
| 98 | + int col = grid[0].length; |
| 99 | + boolean[][] visit = new boolean[row][col]; |
| 100 | + int[][] cost = new int[row][col]; |
| 101 | + |
| 102 | + for(int i = 0; i<row; i++){ |
| 103 | + for(int j = 0; j<col;j++){ |
| 104 | + cost[i][j] = Integer.MAX_VALUE; |
| 105 | + } |
| 106 | + } |
| 107 | + |
| 108 | + String[][] path = new String[row][col]; |
| 109 | + |
| 110 | + cost[0][0] = grid[0][0]; |
| 111 | + path[0][0] = "0-0"; |
| 112 | + visit[0][0] = true; |
| 113 | + |
| 114 | + for(int i = 0; i< row ; i++){ |
| 115 | + for(int j = 0; j< col && visit[i][j] ;j++){ |
| 116 | + |
| 117 | + //left |
| 118 | + int r = i+1, c = j; |
| 119 | + |
| 120 | + if( r < row ){ |
| 121 | + if(cost[r][c] > cost[i][j] + grid[r][c]){ |
| 122 | + cost[r][c] = cost[i][j] + grid[r][c]; |
| 123 | + visit[r][c]= true; |
| 124 | + path[r][c] = String.valueOf(i)+"-"+String.valueOf(j); |
| 125 | + } |
| 126 | + |
| 127 | + } |
| 128 | + // down |
| 129 | + r = i; |
| 130 | + c = j+1; |
| 131 | + if(c < col ){ |
| 132 | + if(cost[r][c] > cost[i][j] + grid[r][c]){ |
| 133 | + cost[r][c] = cost[i][j] + grid[r][c]; |
| 134 | + visit[r][c] = true; |
| 135 | + path[r][c] = String.valueOf(i)+"-"+String.valueOf(j); |
| 136 | + } |
| 137 | + |
| 138 | + } |
| 139 | + } |
| 140 | + } |
| 141 | + |
| 142 | + System.out.println(cost[row-1][col-1]); |
| 143 | + // System.out.println(Arrays.deepToString(cost)); |
| 144 | + } |
| 145 | +} |
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