DP #45. Dungeon Game - mbhushan/dynpro GitHub Wiki

(45). Dungeon Game.

The demons had captured the princess (P) and imprisoned her in the 
bottom-right corner of a dungeon. The dungeon consists of M x N rooms 
laid out in a 2D grid. Our valiant knight (K) was initially positioned 
in the top-left room and must fight his way through the dungeon to 
rescue the princess.

The knight has an initial health point represented by a positive integer. 
If at any point his health point drops to 0 or below, he dies immediately.

Some of the rooms are guarded by demons, so the knight loses health 
(negative integers) upon entering these rooms; other rooms are either 
empty (0's) or contain magic orbs that increase the knight's health 
(positive integers).

In order to reach the princess as quickly as possible, the knight decides 
to move only rightward or downward in each step.


Write a function to determine the knight's minimum initial health so that 
he is able to rescue the princess.

For example, given the dungeon below, the initial health of the knight must 
be at least 7 if he follows the optimal path RIGHT-> RIGHT -> DOWN -> DOWN.

-2 (K)	-3	3
-5	-10	1
10	30	-5 (P)

Notes:
The knight's health has no upper bound.
Any room can contain threats or power-ups, even the first room the 
knight enters and the bottom-right room where the princess is imprisoned.
Formula:

    public int calculateMinimumHP(int[][] dungeon) {
        if (dungeon.length == 0 || dungeon[0].length == 0) {
            return 0;
        }
        int[][] health = new int[dungeon.length][dungeon[0].length];

        int m = dungeon.length - 1;
        int n = dungeon[0].length - 1;

        health[m][n] = Math.max(1 - dungeon[m][n] , 1);

        for (int i = m - 1; i >= 0; i--) {
            health[i][n] = Math.max(health[i + 1][n] - dungeon[i][n], 1);
        }

        for (int i = n - 1; i >= 0; i--) {
            health[m][i] = Math.max(health[m][i+1] - dungeon[m][i], 1);
        }

        for (int i = m - 1; i >= 0; i--) {
            for (int j = n - 1; j >= 0; j--) {
                health[i][j] = Math.min(
                                   Math.max(health[i + 1][j] - dungeon[i][j], 1), 
                                   Math.max(health[i][j + 1] - dungeon[i][j], 1)
                              );
            }
        }

        return health[0][0];
    }

dungeon
indices 0 1 2
0 -2 -3 3
1 -5 -10 1
2 10 30 -5
health
indices 0 1 2
0 7 5 2
1 6 11 5
2 1 1 6

Dungeon Game

  • Time complexity: O(n^2)
  • Space complexity: O(n^2)