LintCode Coins in a Line II
原题链接在这里:http://www.lintcode.com/en/problem/coins-in-a-line-ii/
题目:
There are n coins with different value in a line. Two players take turns to take one or two coins from left side until there are no more coins left. The player who take the coins with the most value wins.
Could you please decide the first player will win or lose?
Example
Given values array A = [1,2,2]
, return true
.
Given A = [1,2,4]
, return false
.
题解:
是Coins in a Line的进阶题.
还是DP. 状态dp[i]是还剩i枚硬币,先手的人最后能拿到最多的值.
转移方程 dp[i] = max(min(dp[i-2],dp[i-3])+values[n-i], min(dp[i-3],dp[i-4])+values[n-i]+values[n-i+1])
初始化dp[0] = 0, dp[1] = values[i-1], dp[2] = values[i-1]+values[i-2], dp[3] = values[i-2] + values[i-3].
答案 dp[n] > sum/2
Time Complexity: O(n). Space: O(n), stack space.
AC Java:
1 public class Solution { 2 public boolean firstWillWin(int[] values) { 3 if(values == null || values.length == 0){ 4 return false; 5 } 6 7 int n = values.length; 8 int [] dp = new int[n+1]; 9 boolean [] used = new boolean [n+1]; 10 int sum = 0; 11 for(int value : values){ 12 sum += value; 13 } 14 15 return sum < 2*memorySearch(values, dp, n, used); 16 } 17 18 private int memorySearch(int [] values, int [] dp, int n, boolean [] used){ 19 if(used[n]){ 20 return dp[n]; 21 } 22 used[n] = true; 23 24 if(n<=0){ 25 dp[n] = 0;; 26 }else if(n == 1){ 27 dp[n] = values[values.length-1]; 28 }else if(n == 2){ 29 dp[n] = values[values.length-1] + values[values.length-2]; 30 }else if(n == 3){ 31 dp[n] = values[values.length-2] + values[values.length-3]; 32 }else{ 33 dp[n] = Math.max( 34 Math.min(memorySearch(values, dp, n-2, used), memorySearch(values, dp, n-3, used)) + values[values.length-n] 35 , Math.min(memorySearch(values, dp, n-3, used), memorySearch(values, dp, n-4, used)) + values[values.length-n] + values[values.length-n+1] 36 ); 37 } 38 return dp[n]; 39 } 40 }
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步