HomeLeetcode174. Dungeon Game - Leetcode Solutions

174. Dungeon Game – Leetcode Solutions

Description

The demons had captured the princess 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 was initially positioned in the top-left room and must fight his way through 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 (represented by negative integers), so the knight loses health upon entering these rooms; other rooms are either empty (represented as 0) or contain magic orbs that increase the knight’s health (represented by positive integers).

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

Return the knight’s minimum initial health so that he can rescue the princess.

Note that 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.

Examples:

Example 1:

Input: dungeon = [[-2,-3,3],[-5,-10,1],[10,30,-5]]
Output: 7
Explanation: The initial health of the knight must be at least 7 if he follows the optimal path: RIGHT-> RIGHT -> DOWN -> DOWN.

Example 2:

Input: dungeon = [[0]]
Output: 1

Solution in Python

Steps to Solve the Problem:

  1. Initialize a DP Table:
    • We’ll create a 2D DP table (dp) where dp[i][j] represents the minimum health required to reach the princess when starting from room (i, j).
  2. Base Case:
    • The base case is the bottom-right room where the princess is located. The knight must have at least 1 health point after exiting this room, so dp[m-1][n-1] should be max(1, 1 - dungeon[m-1][n-1]).
  3. Filling the DP Table:
    • We fill the DP table starting from the bottom-right corner and moving left and upwards.
    • For each room (i, j), the knight needs enough health to move to either the room on the right (i, j+1) or the room below (i+1, j). We choose the path that requires the least health.
    • The knight’s health at (i, j) should be enough to cover the cost of the current room plus the minimum health required for the next step: dp[i][j]=max(1,min(dp[i+1][j],dp[i][j+1])−dungeon[i][j])
    • Here, \min(dp[i+1][j], dp[i][j+1]) gives us the minimum health needed for the next step, and subtracting dungeon[i][j] adjusts for the health effect of the current room.
  4. Return the Result:
    • Finally, dp[0][0] will contain the minimum health required to start at the top-left corner and reach the bottom-right corner alive.
Python
class Solution:
    def calculateMinimumHP(self, dungeon: List[List[int]]) -> int:
        m, n = len(dungeon), len(dungeon[0])
        # Initialize a DP table with dimensions m x n
        dp = [[float('inf')] * n for _ in range(m)]
        
        # Base case for the bottom-right room
        dp[m-1][n-1] = max(1, 1 - dungeon[m-1][n-1])
        
        # Fill the DP table starting from the bottom-right corner
        for i in range(m-1, -1, -1):
            for j in range(n-1, -1, -1):
                if i < m-1:  # If there's a room below
                    dp[i][j] = min(dp[i][j], max(1, dp[i+1][j] - dungeon[i][j]))
                if j < n-1:  # If there's a room to the right
                    dp[i][j] = min(dp[i][j], max(1, dp[i][j+1] - dungeon[i][j]))
        
        # The result is the minimum initial health required at the top-left corner
        return dp[0][0]

Explanation:

  • Initialization: The dp table is initialized with inf (infinity) since we want to minimize the health required.
  • Base Case: The minimum health required at the princess’s location is calculated first.
  • Filling the DP Table: We move from bottom-right to top-left, ensuring at each step that the knight has enough health to survive.
  • Result: The top-left cell dp[0][0] gives us the minimum health required to start the journey.

This approach efficiently computes the minimum initial health required for the knight to rescue the princess.

Solution in Javascript

JavaScript
/**
 * @param {number[][]} dungeon
 * @return {number}
 */
var calculateMinimumHP = function(dungeon) {
    const m = dungeon.length;      // Number of rows in the dungeon
    const n = dungeon[0].length;   // Number of columns in the dungeon
    
    // Create a DP table with dimensions m x n, initialized with Infinity
    const dp = Array.from({ length: m }, () => Array(n).fill(Infinity));
    
    // Base case: Bottom-right room (where the princess is)
    dp[m-1][n-1] = Math.max(1, 1 - dungeon[m-1][n-1]);
    
    // Fill the DP table starting from the bottom-right corner
    for (let i = m - 1; i >= 0; i--) {
        for (let j = n - 1; j >= 0; j--) {
            // If there's a room below, calculate the minimum health required from below
            if (i < m - 1) {
                dp[i][j] = Math.min(dp[i][j], Math.max(1, dp[i+1][j] - dungeon[i][j]));
            }
            // If there's a room to the right, calculate the minimum health required from the right
            if (j < n - 1) {
                dp[i][j] = Math.min(dp[i][j], Math.max(1, dp[i][j+1] - dungeon[i][j]));
            }
        }
    }
    
    // The top-left cell dp[0][0] contains the minimum initial health required
    return dp[0][0];
};

Solution in Java

Java
class Solution {
    public int calculateMinimumHP(int[][] dungeon) {
        int m = dungeon.length;      // Number of rows in the dungeon
        int n = dungeon[0].length;   // Number of columns in the dungeon
        
        // Create a DP table with dimensions m x n
        int[][] dp = new int[m][n];
        
        // Base case: Minimum health needed to rescue the princess
        dp[m-1][n-1] = Math.max(1, 1 - dungeon[m-1][n-1]);
        
        // Fill the last row (bottom row) from right to left
        for (int j = n - 2; j >= 0; j--) {
            dp[m-1][j] = Math.max(1, dp[m-1][j+1] - dungeon[m-1][j]);
        }
        
        // Fill the last column (rightmost column) from bottom to top
        for (int i = m - 2; i >= 0; i--) {
            dp[i][n-1] = Math.max(1, dp[i+1][n-1] - dungeon[i][n-1]);
        }
        
        // Fill the rest of the DP table
        for (int i = m - 2; i >= 0; i--) {
            for (int j = n - 2; j >= 0; j--) {
                int minHealthOnExit = Math.min(dp[i+1][j], dp[i][j+1]);
                dp[i][j] = Math.max(1, minHealthOnExit - dungeon[i][j]);
            }
        }
        
        // The top-left cell dp[0][0] contains the minimum initial health required
        return dp[0][0];
    }
}

Solution in C#

C#
public class Solution {
    public int CalculateMinimumHP(int[][] dungeon) {
        int m = dungeon.Length;       // Number of rows in the dungeon
        int n = dungeon[0].Length;    // Number of columns in the dungeon
        
        // Create a DP table with dimensions m x n
        int[,] dp = new int[m, n];
        
        // Base case: Minimum health needed to rescue the princess in the bottom-right corner
        dp[m-1, n-1] = Math.Max(1, 1 - dungeon[m-1][n-1]);
        
        // Fill the last row (bottom row) from right to left
        for (int j = n - 2; j >= 0; j--) {
            dp[m-1, j] = Math.Max(1, dp[m-1, j+1] - dungeon[m-1][j]);
        }
        
        // Fill the last column (rightmost column) from bottom to top
        for (int i = m - 2; i >= 0; i--) {
            dp[i, n-1] = Math.Max(1, dp[i+1, n-1] - dungeon[i][n-1]);
        }
        
        // Fill the rest of the DP table
        for (int i = m - 2; i >= 0; i--) {
            for (int j = n - 2; j >= 0; j--) {
                int minHealthOnExit = Math.Min(dp[i+1, j], dp[i, j+1]);
                dp[i, j] = Math.Max(1, minHealthOnExit - dungeon[i][j]);
            }
        }
        
        // The top-left cell dp[0,0] contains the minimum initial health required
        return dp[0, 0];
    }
}

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