先上题目:

Binary Search Heap Construction

Time Limit: 5 Seconds      Memory Limit: 32768 KB

Read the statement of problem G for the definitions concerning trees. In the following we define the basic terminology of heaps. A heap is a tree whose internal nodes have each assigned a priority (a number) such that the priority of each internal node is less than the priority of its parent. As a consequence, the root has the greatest priority in the tree, which is one of the reasons why heaps can be used for the implementation of priority queues and for sorting.

A binary tree in which each internal node has both a label and a priority, and which is both a binary search tree with respect to the labels and a heap with respect to the priorities, is called a treap. Your task is, given a set of label-priority-pairs, with unique labels and unique priorities, to construct a treap containing this data.

Input Specification

The input contains several test cases. Every test case starts with an integer n. You may assume that 1<=n<=50000. Then follow n pairs of strings and numbers l1/p1,...,ln/pndenoting the label and priority of each node. The strings are non-empty and composed of lower-case letters, and the numbers are non-negative integers. The last test case is followed by a zero.

Output Specification

For each test case output on a single line a treap that contains the specified nodes. A treap is printed as (<left sub-treap><label>/<priority><right sub-treap>). The sub-treaps are printed recursively, and omitted if leafs.

Sample Input

 

7 a/7 b/6 c/5 d/4 e/3 f/2 g/1
7 a/1 b/2 c/3 d/4 e/5 f/6 g/7
7 a/3 b/6 c/4 d/7 e/2 f/5 g/1
0

Sample Output

 

(a/7(b/6(c/5(d/4(e/3(f/2(g/1)))))))
(((((((a/1)b/2)c/3)d/4)e/5)f/6)g/7)
(((a/3)b/6(c/4))d/7((e/2)f/5(g/1)))

  题意:好像就是叫你求Treap树。给出字符串和优先值,要求建一棵二叉树,根据字符串排序,然后父亲的优先值要比儿子大。然后先序遍历输出这个Treap树。
  最水的方法就是直接先按优先值排序,然后逐个逐个元素添加。但是这样做绝对超时。
  可以通过的第一种方法:首先先按字符串大小排个序,然后从小到大扫描一次,求出每个元素左边优先值比它大的最近的元素的位置在哪。同理从大到小扫描,求出每个元素右边优先值比它大的最近的元素的位置在哪。(没错,就是单调栈),然后在每个扫描到的最近位置加一个对应的括号(左括号或者右括号)就是答案了。总的时间复杂度O(nlogn)。
  第二种方法是用RMQ求出区间优先值的最大值的下标,然后每次找出区间最大值作为根构造两边的子树就可以了。总的时间复杂度也是O(nlogn)。

  比赛的时候用的方法是第二种,但是当时求对数的时候底数不是2,所以提交一直都是段错误。

上代码:


 1 #include <cstdio>
 2 #include <cstring>
 3 #include <algorithm>
 4 #define MAX 50002
 5 #define INF 0x3f3f3f3f
 6 using namespace std;
 7 
 8 typedef struct node{
 9     char l[200];
10     int p;
11 
12     bool operator < (const node& o)const{
13         return strcmp(l,o.l)<0;
14     }
15 }node;
16 
17 int n;
18 node e[MAX];
19 char ch[MAX];
20 int l[MAX],r[MAX];
21 int al[MAX],ar[MAX];
22 
23 inline void put(char c,int ti){
24     for(int i=0;i<ti;i++) putchar(c);
25 }
26 
27 int main()
28 {
29     char* sp;
30     //freopen("data.txt","r",stdin);
31     while(scanf("%d",&n),n){
32         for(int i=1;i<=n;i++){
33             scanf("%s",ch);
34             sp=strchr(ch,'/');
35             *sp='\0';
36             sp++;
37             strcpy(e[i].l,ch);
38             sscanf(sp,"%d",&e[i].p);
39             l[i]=r[i]=i;
40             al[i]=ar[i]=0;
41         }
42         sort(e+1,e+n+1);
43         e[0].p=e[n+1].p=INF;
44         for(int i=1;i<=n;i++){
45             while(e[i].p>=e[l[i]-1].p) l[i]=l[l[i]-1];
46             al[l[i]]++;
47         }
48         for(int i=n;i>0;i--){
49             while(e[i].p>=e[r[i]+1].p) r[i]=r[r[i]+1];
50             ar[r[i]]++;
51         }
52         for(int i=1;i<=n;i++){
53             put('(',al[i]);
54             printf("%s/%d",e[i].l,e[i].p);
55             put(')',ar[i]);
56         }
57         printf("\n");
58     }
59     return 0;
60 }
/*单调栈*/

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