博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
174. Dungeon Game
阅读量:6910 次
发布时间:2019-06-27

本文共 2551 字,大约阅读时间需要 8 分钟。

题目:

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    110    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.

 

链接: 

题解:

题目好长啊...就是一个骑士要救公主,从迷宫坐上到右下,一共需要多少体力。 这里比较明显的想到了用DP,条件就是,当(i + 1, j) 和(i, j + 1)的值都小于0时,我们才更新(i,j),否则我们不需要更多的体力。这样自右下角dp到左上角就可以了。 其实应该也可以用BFS或者其他的weighted shortest path方法。 也应该可以用滚动数组来进行dp,留给二刷吧。

Time Complexity - O(mn), Space Complexity - O(mn)。  

public class Solution {    public int calculateMinimumHP(int[][] dungeon) {        if(dungeon == null || dungeon.length == 0)            return 1;        int m = dungeon.length, n = dungeon[0].length;                for(int i = m - 2; i >= 0; i--) {             // initialize last row            dungeon[i][n - 1] += Math.min(dungeon[i + 1][n - 1], 0);        }                               for(int j = n - 2; j >= 0; j--) {               // initialize last column            dungeon[m - 1][j] += Math.min(dungeon[m - 1][j + 1], 0);        }                for(int i = dungeon.length - 2; i >= 0; i--) {          // dynamic programming            for(int j = dungeon[0].length - 2; j >= 0; j--) {                if(Math.max(dungeon[i + 1][j], dungeon[i][j + 1]) < 0)      // if right and down >= 0, we do not require more hp                    dungeon[i][j] += Math.max(dungeon[i + 1][j], dungeon[i][j + 1]);            }        }                return dungeon[0][0] >= 0 ? 1 : -dungeon[0][0] + 1;    }}

 

测试:

转载地址:http://vxfcl.baihongyu.com/

你可能感兴趣的文章
Android小白的探索:2D绘图之Android简易版Microsoft Visio学习之路 三、装饰者模式...
查看>>
现代操作系统--引论
查看>>
Unix Study之--AIX安装和配置SSH
查看>>
C++ priority_queue用法(大顶堆,小顶堆)
查看>>
带返回值的python多级菜单
查看>>
Linux中~/.是什么意思
查看>>
MySql-Binlog协议详解-流程篇
查看>>
Effective Java 学习笔记(第57条:只针对异常的情况才使用异常)
查看>>
Simple-Spring-Memcached深入研究一
查看>>
大话JS神器之Promise
查看>>
网页适配之强制网页适配手机屏幕
查看>>
ThinkPHP2.2 任意代码执行漏洞 利用
查看>>
期年之痒
查看>>
cpanm perl模块自动安装
查看>>
深入讲解BGP协议synchronous原理
查看>>
简要总结最近遇到的5个问题
查看>>
中国象棋程序的设计与实现(七)--心得体会和开发日志
查看>>
浅显理解 Python 闭包
查看>>
学习Oracle分析函数(Analytic Functions)
查看>>
openstack学习笔记二 网络设置基础
查看>>