Bridging signals

Time Limit: 5000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 667    Accepted Submission(s): 443

Problem Description
'Oh
no, they've done it again', cries the chief designer at the Waferland
chip factory. Once more the routing designers have screwed up
completely, making the signals on the chip connecting the ports of two
functional blocks cross each other all over the place. At this late
stage of the process, it is too
expensive to redo the routing.
Instead, the engineers have to bridge the signals, using the third
dimension, so that no two signals cross. However, bridging is a
complicated operation, and thus it is desirable to bridge as few
signals as possible. The call for a computer program that finds the
maximum number of signals which may be connected on the silicon surface
without rossing each other, is imminent. Bearing in mind that there may
be housands of signal ports at the boundary of a functional block, the
problem asks quite a lot of the programmer. Are you up to the task?

Figure
1. To the left: The two blocks' ports and their signal mapping
(4,2,6,3,1,5). To the right: At most three signals may be routed on the
silicon surface without crossing each other. The dashed signals must be
bridged.

A typical situation is schematically depicted in figure
1. The ports of the two functional blocks are numbered from 1 to p,
from top to bottom. The signal mapping is described by a permutation of
the numbers 1 to p in the form of a list of p unique numbers in the
range 1 to p, in which the i:th number pecifies which port on the right
side should be connected to the i:th port on the left side.
Two signals cross if and only if the straight lines connecting the two ports of each pair do.

 
Input
On
the first line of the input, there is a single positive integer n,
telling the number of test scenarios to follow. Each test scenario
begins with a line containing a single positive integer p<40000, the
number of ports on the two functional blocks. Then follow p lines,
describing the signal mapping: On the i:th line is the port number of
the block on the right side which should be connected to the i:th port
of the block on the left side.
 
Output
For
each test scenario, output one line containing the maximum number of
signals which may be routed on the silicon surface without crossing each
other.
 
Sample Input
4
6
4
2
6
3
1
5
10
2
3
4
5
6
7
8
9
10
1
8
8
7
6
5
4
3
2
1
9
5
8
9
2
3
1
7
4
6
 
Sample Output
3
9
1
4
 
Source
 
简单的题目。几乎等于一个模板题.....  ->_->
不过前提得失你理解还有这样一个算法,当然还有其他做法,比如用线段树+dp做法
代码:

 //#define LOCAL
#include<cstdio>
#include<cstring>
#include<algorithm>
#include<iostream>
#define inf 0x3f3f3f3f
using namespace std;
const int maxn=; int str[maxn],ans[maxn],dp[maxn];
int n,dd; int LIS(int a[], int n)
{
int i, j,res=;
for(i=;i<=n;i++)
ans[i]=inf;
memset(dp,,sizeof(int)*(n+));
for(i=;i<=n;++i)
{ dp[i]=lower_bound(ans+,ans+n+,a[i])-ans;
// j=bsearch(c, size, a[i]); //在已有的序列中进行替换
if(res<dp[i])res=dp[i];
j=i;
if(j>&&ans[dp[j]]>a[j])
ans[dp[j]]=a[j];
}
return res;
} int main()
{
#ifdef LOCAL
freopen("test.in","r",stdin);
#endif
int cas;
scanf("%d",&cas);
while(cas--){ scanf("%d",&n);
for(int i=;i<=n;i++)
{
scanf("%d",str+i);
}
printf("%d\n",LIS(str,n));
}
return ;
}
 

hdu----(1950)Bridging signals(最长递增子序列 (LIS) )的更多相关文章

  1. hdu1950 Bridging signals 最长递增子序列

    用一个数组记下递增子序列长度为i时最小的len[i],不断更新len数组,最大的i即为最长递增子序列的长度 #include<cstdio> #include<algorithm&g ...

  2. 2.16 最长递增子序列 LIS

    [本文链接] http://www.cnblogs.com/hellogiser/p/dp-of-LIS.html [分析] 思路一:设序列为A,对序列进行排序后得到B,那么A的最长递增子序列LIS就 ...

  3. 动态规划(DP),最长递增子序列(LIS)

    题目链接:http://poj.org/problem?id=2533 解题报告: 状态转移方程: dp[i]表示以a[i]为结尾的LIS长度 状态转移方程: dp[0]=1; dp[i]=max(d ...

  4. 最长回文子序列LCS,最长递增子序列LIS及相互联系

    最长公共子序列LCS Lintcode 77. 最长公共子序列 LCS问题是求两个字符串的最长公共子序列 \[ dp[i][j] = \left\{\begin{matrix} & max(d ...

  5. 一个数组求其最长递增子序列(LIS)

    一个数组求其最长递增子序列(LIS) 例如数组{3, 1, 4, 2, 3, 9, 4, 6}的LIS是{1, 2, 3, 4, 6},长度为5,假设数组长度为N,求数组的LIS的长度, 需要一个额外 ...

  6. HDU 1950 Bridging signals(LIS)

    最长上升子序列(LIS)的典型变形,O(n^2)的动归会超时.LIS问题可以优化为nlogn的算法. 定义d[k]:长度为k的上升子序列的最末元素,若有多个长度为k的上升子序列,则记录最小的那个最末元 ...

  7. 动态规划 - 最长递增子序列(LIS)

    最长递增子序列是动态规划中经典的问题,详细如下: 在一个已知的序列{a1,a2,...,an}中,取出若干数组组成新的序列{ai1,ai2,...,aim},其中下标i1,i2,...,im保持递增, ...

  8. 最长递增子序列LIS再谈

    DP模型: d(i) 以第 i 个元素结尾的最长递增子序列的长度. 那么就有 d(i) = max(d(j)) + 1;(j<i&&a[j]<a[i]),答案 max(d( ...

  9. 算法面试题 之 最长递增子序列 LIS

    找出最长递增序列 O(NlogN)(不一定连续!) 参考 http://www.felix021.com/blog/read.php?1587%E5%8F%AF%E6%98%AF%E8%BF%9E%E ...

随机推荐

  1. /proc/cpuinfo zz

    /proc/cpuinfo文件分析 在Linux系统中,提供了proc文件系统显示系统的软硬件信息.如果想了解系统中CPU的提供商和相关配置信息,则可以通过/proc/cpuinfo文件得到.本文章针 ...

  2. Simulating a Freight robot in Gazebo

    Installation Before installing the simulation environment, make sure your desktop is setup with a st ...

  3. LAMP配置

    参考资料: 1. http://www.cnblogs.com/zhuyp1015/p/3561470.html ↂ Apache服务器: 安装Apache: sudo apt-get install ...

  4. 再学C++之C++中的全部关键字

    /*______C++全部关键字___________*/ asm do if return try auto double inline short typedef bool dynamic_cas ...

  5. hanio 塔和递规的理解。

    //递规很好理解,但是初看hanoi的时候,总没有理所当然的感觉.//那应该是对递规根本还没理解吧.仔细想了下.有点总结. 后来翻到 <<数据结构>> 112页,原来hanio ...

  6. Build Up Your Own Lightweight Workspace

    写一段简单的批处理(.bat)放在自己建的workspace下. @set path=C:/Program Files/Java/jdk1.8.0_101/bin;%PATH%; //jdk的路径 @ ...

  7. Python学习笔记9—文件

    打开文件

  8. Linux crontab 定时任务

    http://linuxtools-rst.readthedocs.io/zh_CN/latest/tool/crontab.html 19. crontab 定时任务 通过crontab 命令,我们 ...

  9. SDL2.0的加载图片贴图

    加载图片贴图,采用了SDL_Window.SDL_Renderer.SDL_Texture和SDL_Image库 实例: #include <stdio.h> #include <m ...

  10. WCF配置详解

    前面一篇文章<WCF 学习总结1 -- 简单实例> 一股脑儿展示了几种WCF部署方式,其中配置文件(App.config/Web.config)都是IDE自动生成,省去了我们不少功夫.现在 ...