Bridging signals
Time Limit: 1000MS   Memory Limit: 10000K
Total Submissions: 12251   Accepted: 6687

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 crossing each other, is imminent. Bearing in mind that there may be thousands 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? 

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 specifies 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
 #include <iostream>
#include <cstring>
#include <algorithm>
#include <cstdio>
using namespace std;
const int MAX = + ;
int a[MAX],d[MAX]; //a是原始数据,d是递增子序列
int Find(int c[],int len, int x)
{
int l = ,r = len;
int mid;
while(l <= r)
{
mid = (l + r) / ;
if(c[mid] == x)
return mid;
else if(c[mid] > x)
r = mid - ;
else if(c[mid] < x)
l = mid + ;
}
return l;
}
int main()
{
int t,n,len;
scanf("%d", &t);
while(t--)
{
scanf("%d", &n);
for(int i = ; i <= n; i++)
scanf("%d", &a[i]);
len = ;
d[] = a[];
for(int i = ; i <= n; i++)
{
int j = Find(d,len,a[i]);
d[j] = a[i];
if(j > len)
len = j;
}
printf("%d\n",len);
}
return ;
}

二分

poj1631Bridging signals(最长单调递增子序列 nlgn)的更多相关文章

  1. 动态规划-最长单调递增子序列(dp)

    最长单调递增子序列 解题思想:动态规划 1.解法1(n2) 状态:d[i] = 长度为i+1的递增子序列的长度 状态转移方程:dp[i] = max(dp[j]+1, dp[i]); 分析:最开始把d ...

  2. [C++] 动态规划之矩阵连乘、最长公共子序列、最大子段和、最长单调递增子序列、0-1背包

    一.动态规划的基本思想 动态规划算法通常用于求解具有某种最优性质的问题.在这类问题中,可能会有许多可行解.每一个解都对应于一个值,我们希望找到具有最优值的解. 将待求解问题分解成若干个子问题,先求解子 ...

  3. HD1160FatMouse's Speed(最长单调递增子序列)

    FatMouse's Speed Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) ...

  4. [dp]最长单调递增子序列LIS

    https://www.51nod.com/tutorial/course.html#!courseId=12 解题关键: 如果将子序列按照长度由短到长排列,将他们的最大元素放在一起,形成新序列$B\ ...

  5. NYOJ17 最长单调递增子序列 线性dp

    题目链接: http://acm.nyist.edu.cn/JudgeOnline/problem.php?pid=17 分析: i=1 dp[i]=1 i!=1 dp[i]=max(dp[j]+1) ...

  6. nyoj 单调递增子序列(二)

    单调递增子序列(二) 时间限制:1000 ms  |  内存限制:65535 KB 难度:4   描述 给定一整型数列{a1,a2...,an}(0<n<=100000),找出单调递增最长 ...

  7. nyist oj 214 单调递增子序列(二) (动态规划经典)

    单调递增子序列(二) 时间限制:1000 ms  |  内存限制:65535 KB 难度:4 描写叙述 ,a2...,an}(0<n<=100000).找出单调递增最长子序列,并求出其长度 ...

  8. ny214 单调递增子序列(二) 动态规划

    单调递增子序列(二) 时间限制:1000 ms  |  内存限制:65535 KB 难度:4 描述 给定一整型数列{a1,a2...,an}(0<n<=100000),找出单调递增最长子序 ...

  9. nyoj 214 单调递增子序列(二)

    单调递增子序列(二) 时间限制:1000 ms  |  内存限制:65535 KB 难度:4 描述 ,a2...,an}(0<n<=100000),找出单调递增最长子序列,并求出其长度. ...

随机推荐

  1. MyEclipse无法启动调试:Cannot connect to VM

    MyEclipse无法启动调试:Cannot connect to VM 问题描述:Eclipse普通的Run模式没有问题,Debug模式却启动不了.换了Eclipse,MyEclipse,JDK都不 ...

  2. C语言 二级指针内存模型②

    //二级指针第二种内存模型 #define _CRT_SECURE_NO_WARNINGS #include<stdio.h> #include<stdlib.h> #incl ...

  3. 史上最全Html与CSS布局技巧

    单列布局水平居中水平居中的页面布局中最为常见的一种布局形式,多出现于标题,以及内容区域的组织形式,下面介绍四种实现水平居中的方法(注:下面各个实例中实现的是child元素的对齐操作,child元素的父 ...

  4. php基础09:提取表单数据

    <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...

  5. [CareerCup] 4.3 Create Minimal Binary Search Tree 创建最小二叉搜索树

    4.3 Given a sorted (increasing order) array with unique integer elements, write an algorithm to crea ...

  6. Linux第13周学习笔记

    网络编程 客户端-服务器编程模型 每个网络应用都是基于客户端-服务器模型. 一个应用是由一个服务器进程和一个或者多个客户端进程组成. 服务器管理某种资源,并通过操作资源来为客户端提供某种服务. 基本操 ...

  7. 20135316王剑桥 linux第十二周课实验笔记

    第十二章并发编程 1.如果逻辑控制流在时间上重叠,那么它们就是并发的.这种现象,称为并发(concurrency). 2.为了允许服务器同时为大量客户端服务,比较好的方法是:创建并发服务器,为每个客户 ...

  8. HDU3923-Invoker-polya n次二面体

    polya定理.等价类的个数等于∑颜色数^置换的轮换个数 不可翻转的串当中.直接计算∑m^(gcd(n,i)) ,这里gcd(n,i)就是第i个置换的轮换数. 翻转的情况再分n奇偶讨论. n次二面体都 ...

  9. WPF ListView DoubleClick

    <ListView   x:Name="TrackListView"  MouseDoubleClick="MouseDoubleClick"       ...

  10. JS的解析机制

    JS的解析机制,是JS的又一大重点知识点,在面试题中更经常出现,今天就来唠唠他们的原理.首先呢,我们在我们伟大的浏览器中,有个叫做JS解析器的东西,它专门用来读取JS,执行JS.一般情况是存在作用域就 ...