HDU1536 S-nim 尼姆博弈简单题
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S-Nim
Time Limit: 5000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 4004 Accepted Submission(s): 1732Problem Description
Arthur and his sister Caroll have been playing a game called Nim for some time now. Nim is played as follows: The starting position has a number of heaps, all containing some, not necessarily equal, number of beads. The players take turns chosing a heap and removing a positive number of beads from it. The first player not able to make a move, loses.Arthur and Caroll really enjoyed playing this simple game until they recently learned an easy way to always be able to find the best move: Xor the number of beads in the heaps in the current position (i.e. if we have 2, 4 and 7 the xor-sum will be 1 as 2 xor 4 xor 7 = 1). If the xor-sum is 0, too bad, you will lose. Otherwise, move such that the xor-sum becomes 0. This is always possible.It is quite easy to convince oneself that this works. Consider these facts: The player that takes the last bead wins. After the winning player's last move the xor-sum will be 0. The xor-sum will change after every move.Which means that if you make sure that the xor-sum always is 0 when you have made your move, your opponent will never be able to win, and, thus, you will win. Understandibly it is no fun to play a game when both players know how to play perfectly (ignorance is bliss). Fourtunately, Arthur and Caroll soon came up with a similar game, S-Nim, that seemed to solve this problem. Each player is now only allowed to remove a number of beads in some predefined set S, e.g. if we have S =(2, 5) each player is only allowed to remove 2 or 5 beads. Now it is not always possible to make the xor-sum 0 and, thus, the strategy above is useless. Or is it? your job is to write a program that determines if a position of S-Nim is a losing or a winning position. A position is a winning position if there is at least one move to a losing position. A position is a losing position if there are no moves to a losing position. This means, as expected, that a position with no legal moves is a losing position.
Input
Input consists of a number of test cases. For each test case: The first line contains a number k (0 < k ≤ 100 describing the size of S, followed by k numbers si (0 < si ≤ 10000) describing S. The second line contains a number m (0 < m ≤ 100) describing the number of positions to evaluate. The next m lines each contain a number l (0 < l ≤ 100) describing the number of heaps and l numbers hi (0 ≤ hi ≤ 10000) describing the number of beads in the heaps. The last test case is followed by a 0 on a line of its own.
Output
For each position: If the described position is a winning position print a 'W'.If the described position is a losing position print an 'L'. Print a newline after each test case.
Sample Input
2 2 532 5 123 2 4 74 2 3 7 125 1 2 3 4 532 5 123 2 4 74 2 3 7 120
Sample Output
LWWWWL
#include<stdio.h> #include<string.h> #include<algorithm> using namespace std; //注意 S数组要按从小到大排序 SG函数要初始化为-1 对于每个集合只需初始化1遍 //n是集合s的大小 S[i]是定义的特殊取法规则的数组 int s[110],sg[10010],n; int SG_dfs(int x) { int i; if(sg[x]!=-1) return sg[x]; bool vis[110]; memset(vis,0,sizeof(vis)); for(i=0;i<n;i++) { if(x>=s[i]) { vis[SG_dfs(x-s[i])]=1; // SG_dfs(x-s[i]); //vis[sg[x-s[i]]]=1; } } int e; for(i=0;;i++) if(!vis[i]) { return sg[x]=i; // e=i; // break; } // return sg[x]=e; } int main() { int i,m,t,num; while(scanf("%d",&n)&&n) { for(i=0;i<n;i++) scanf("%d",&s[i]); memset(sg,-1,sizeof(sg)); sort(s,s+n); scanf("%d",&m); while(m--) { scanf("%d",&t); int ans=0; while(t--) { scanf("%d",&num); ans^=SG_dfs(num); } if(ans==0) printf("L"); else printf("W"); } printf("\n"); } return 0; }
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