码迷,mamicode.com
首页 > 其他好文 > 详细

hdu1025 Constructing Roads In JGShining's Kingdom

时间:2014-06-22 21:03:54      阅读:203      评论:0      收藏:0      [点我收藏+]

标签:二分查找   算法   优化   

转载请注明出处:http://blog.csdn.net/u012860063

题目链接:http://acm.hdu.edu.cn/showproblem.php?pid=1025

Problem Description
JGShining‘s kingdom consists of 2n(n is no more than 500,000) small cities which are located in two parallel lines.

Half of these cities are rich in resource (we call them rich cities) while the others are short of resource (we call them poor cities). Each poor city is short of exactly one kind of resource and also each rich city is rich in exactly one kind of resource. You may assume no two poor cities are short of one same kind of resource and no two rich cities are rich in one same kind of resource.

With the development of industry, poor cities wanna import resource from rich ones. The roads existed are so small that they‘re unable to ensure the heavy trucks, so new roads should be built. The poor cities strongly BS each other, so are the rich ones. Poor cities don‘t wanna build a road with other poor ones, and rich ones also can‘t abide sharing an end of road with other rich ones. Because of economic benefit, any rich city will be willing to export resource to any poor one.

Rich citis marked from 1 to n are located in Line I and poor ones marked from 1 to n are located in Line II.

The location of Rich City 1 is on the left of all other cities, Rich City 2 is on the left of all other cities excluding Rich City 1, Rich City 3 is on the right of Rich City 1 and Rich City 2 but on the left of all other cities ... And so as the poor ones.

But as you know, two crossed roads may cause a lot of traffic accident so JGShining has established a law to forbid constructing crossed roads.

For example, the roads in Figure I are forbidden.

bubuko.com,布布扣


In order to build as many roads as possible, the young and handsome king of the kingdom - JGShining needs your help, please help him. ^_^
 

Input
Each test case will begin with a line containing an integer n(1 ≤ n ≤ 500,000). Then n lines follow. Each line contains two integers p and r which represents that Poor City p needs to import resources from Rich City r. Process to the end of file.
 

Output
For each test case, output the result in the form of sample.
You should tell JGShining what‘s the maximal number of road(s) can be built.
 

Sample Input
2 1 2 2 1 3 1 2 2 3 3 1
 

Sample Output
Case 1: My king, at most 1 road can be built. Case 2: My king, at most 2 roads can be built.

注意区分road和roads

思路:

/*假设存在一个序列d[1..9] = 2 1 5 3 6 4 8 9 7,可以看出来它的LIS长度为5。
下面一步一步试着找出它。
我们定义一个序列B,然后令 i = 1 to 9 逐个考察这个序列。
此外,我们用一个变量Len来记录现在最长算到多少了
首先,把d[1]有序地放到B里,令B[1] = 2,就是说当只有1一个数字2的时候,长度为1的LIS的最小末尾是2。这时Len=1
然后,把d[2]有序地放到B里,令B[1] = 1,就是说长度为1的LIS的最小末尾是1,d[1]=2已经没用了,很容易理解吧。这时Len=1
接着,d[3] = 5,d[3]>B[1],所以令B[1+1]=B[2]=d[3]=5,就是说长度为2的LIS的最小末尾是5,很容易理解吧。这时候B[1..2] = 1, 5,Len=2
再来,d[4] = 3,它正好加在1,5之间,放在1的位置显然不合适,因为1小于3,长度为1的LIS最小末尾应该是1,这样很容易推知,长度为2的LIS最小末尾是3,于是可以把5淘汰掉,这时候B[1..2] = 1, 3,Len = 2
继续,d[5] = 6,它在3后面,因为B[2] = 3, 而6在3后面,于是很容易可以推知B[3] = 6, 这时B[1..3] = 1, 3, 6,还是很容易理解吧? Len = 3 了噢。
第6个, d[6] = 4,你看它在3和6之间,于是我们就可以把6替换掉,得到B[3] = 4。B[1..3] = 1, 3, 4, Len继续等于3
第7个, d[7] = 8,它很大,比4大,嗯。于是B[4] = 8。Len变成4了
第8个, d[8] = 9,得到B[5] = 9,嗯。Len继续增大,到5了。
最后一个, d[9] = 7,它在B[3] = 4和B[4] = 8之间,所以我们知道,最新的B[4] =7,B[1..5] = 1, 3, 4, 7, 9,Len = 5。
于是我们知道了LIS的长度为5。
!!!!! 注意。这个1,3,4,7,9不是LIS,它只是存储的对应长度LIS的最小末尾。有了这个末尾,我们就可以一个一个地插入数据。虽然最后一个d[9] = 7更新进去对于这组数据没有什么意义,但是如果后面再出现两个数字 8 和 9,那么就可以把8更新到d[5], 9更新到d[6],得出LIS的长度为6。
然后应该发现一件事情了:在B中插入数据是有序的,而且是进行替换而不需要挪动——也就是说,我们可以使用二分查找,将每一个数字的插入时间优化到O(logN)~~~~~于是算法的时间复杂度就降低到了O(NlogN)~


注意 把第一列的城市看成固定的,求出另一列数的最长递增序列
用ans[x]保存rich city的标号y,dp[i]存放的是长度为i的序列的末尾最小的那个ans[i]值
dp[]的长度就是最多的道路数目。

设辅助数组为dp[]。
可以知道最短len=1;此时dp[1]=ans[1],若第二个元素要大于第一个,把它加入dp[2],len++,
否则就更新dp[1],len不加,分析第三元素就可以推广到n个了,这样就降低分析问题的难度了。
如果第三个大于第二个元素就加入dp[3]中,如果小于第二个,直接更新dp[2]。
要判断left>len(left代表dp数组中更新元素的位置)这样2==2,不需要加。
如果小于第一个,更新dp[1],len=2>1,不需要加。
通过进一步分析:我们发现,dp数组中是递增的。它含有的元素的个数是当前上升子序列的个数(除0),
当有数据不是加入dp数组中,要更新前面的(用二分法找).而它不会影响结果,
因为dp数组中值(除0以外)的个数并没增加,要使len 增加,有两种可能:
1:后面有元素大于dp数组的最后一个元素就有(left>len)。
2:被另一个元素连续更新,且更新到left>len,意思就是说:选出另一元素它能比当前元素构造的上升子序列要多。
这样就能选出最长上升子序列了。

*/

代码如下:

#include <cstdio>
#include <cstring>
const int maxn = 500047;
int dp[maxn], ans[maxn], n;
int LIS()
{
    dp[1] = ans[1]; //dp[i]用来存储长度为i时的最小值
    int len = 1;
    for (int i = 2; i <= n; i++)
	{
        int left = 1, right = len;
        while (left <= right)//二分查找应该更新的元素
		{
            int m = (left + right)/2;
            if (ans[i] > dp[m])
				left = m + 1;
            else 
				right = m - 1;
        }
        dp[left] = ans[i];
        if (left > len) 
			len = left;
    }
    return len;
}
int main()
{
    int x, y,k = 1;
    while (~scanf("%d", &n))
	{
        for (int i = 0; i < n; i++)
		{
            
            scanf("%d%d", &x, &y);
            ans[x] = y;
        }
        memset(dp, 0, sizeof(dp));
        int len = LIS();
        printf("Case %d:\n",k);  
        if(len==1)  
			printf("My king, at most 1 road can be built.");  
        else   
			printf("My king, at most %d roads can be built.",len);  
        printf("\n\n");   
        k++;
    }
    return 0;
}


hdu1025 Constructing Roads In JGShining's Kingdom,布布扣,bubuko.com

hdu1025 Constructing Roads In JGShining's Kingdom

标签:二分查找   算法   优化   

原文地址:http://blog.csdn.net/u012860063/article/details/32729409

(0)
(0)
   
举报
评论 一句话评论(0
登录后才能评论!
© 2014 mamicode.com 版权所有  联系我们:gaon5@hotmail.com
迷上了代码!