题目连接:http://acm.hdu.edu.cn/showproblem.php?pid=1069

Monkey and Banana

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 10875    Accepted Submission(s): 5660

Problem Description
A group of researchers are designing an experiment to test the IQ of a monkey. They will hang a banana at the roof of a building, and at the mean time, provide the monkey with some blocks. If the monkey is clever enough, it shall be able to reach the banana by placing one block on the top another to build a tower and climb up to get its favorite food.

The researchers have n types of blocks, and an unlimited supply of blocks of each type. Each type-i block was a rectangular solid with linear dimensions (xi, yi, zi). A block could be reoriented so that any two of its three dimensions determined the dimensions of the base and the other dimension was the height.

They want to make sure that the tallest tower possible by stacking blocks can reach the roof. The problem is that, in building a tower, one block could only be placed on top of another block as long as the two base dimensions of the upper block were both strictly smaller than the corresponding base dimensions of the lower block because there has to be some space for the monkey to step on. This meant, for example, that blocks oriented to have equal-sized bases couldn't be stacked.

Your job is to write a program that determines the height of the tallest tower the monkey can build with a given set of blocks.

 
Input
The input file will contain one or more test cases. The first line of each test case contains an integer n,
representing the number of different blocks in the following data set. The maximum value for n is 30.
Each of the next n lines contains three integers representing the values xi, yi and zi.
Input is terminated by a value of zero (0) for n.
 
Output
For each test case, print one line containing the case number (they are numbered sequentially starting from 1) and the height of the tallest possible tower in the format "Case case: maximum height = height".
 
Sample Input
1
10 20 30
2
6 8 10
5 5 5
7
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
6 6 6
7 7 7
5
31 41 59
26 53 58
97 93 23
84 62 64
33 83 27
0
 
Sample Output
Case 1: maximum height = 40
Case 2: maximum height = 21
Case 3: maximum height = 28
Case 4: maximum height = 342
题意:

题目:给出一些长方体,然后让你把他堆成塔,
要求下面的塔的要比上面的塔大(长和宽),
而且每一种长方体的数量都是无限的。
每个格子最多3个状态,也就是高最多有3种,也就是一共有N*3 最多90个格子,但是X和Y可以对调,那么就最多180个,我对180个格子对X从小到大排序,X相等,Y就重小到大排序,那么这个问题就可以转换成类似求最大递增子序列问题一样思路的DP,DP[i]表示第i个格子时的最大值,dp[i+1]就是从前i个中找符合条件的最大的一个加上去,因为,重楼必须X越来越小,反过来就是X越来越大,我已经保证了X是递增的,所以这样DP是对的!
 #include<cstdio>
#include<cstring>
#include<algorithm>
using namespace std;
const int N = ; struct Node {
int x;
int y;
int z;
bool operator < (const Node &a) const
{
if(x!=a.x) return x < a.x;
else if(y!=a.y) return y < a.y;
else return z > a.z;
}
} node[N];
int dp[N]; int main()
{
int n;
int cnt = ;
while(~scanf("%d",&n))
{
if(n==) return ;
memset(dp,,sizeof(dp));
int x,y,z;
int t = ;
for(int i = ; i < n; i++){
scanf("%d%d%d",&x,&y,&z);
node[t].x = x;
node[t].y = y;
node[t].z = z;
t++;
node[t].x = x;
node[t].y = z;
node[t].z = y;
t++;
node[t].x = y;
node[t].y = x;
node[t].z = z;
t++;
node[t].x = y;
node[t].y = z;
node[t].z = x;
t++;
node[t].x = z;
node[t].y = x;
node[t].z = y;
t++;
node[t].x = z;
node[t].y = y;
node[t].z = x;
t++;
}
sort(node,node+*n);
int mmax = ;
for(int i = ; i < *n; i++)
dp[i] = node[i].z;
for(int i = ; i < *n; i++)
{
for(int j = ; j < i; j++)
{
if((node[i].x>node[j].x)&&(node[i].y>node[j].y))
dp[i] = max(dp[i],dp[j]+node[i].z);
}
mmax = max(mmax,dp[i]);
}
printf("Case %d: maximum height = ",cnt);
cnt++;
printf("%d\n",mmax);
}
return ;
}

最长上升子序列(LIS经典变型) dp学习~5的更多相关文章

  1. AT2827 最长上升子序列LIS(nlogn的DP优化)

      题意翻译 给定一长度为n的数列,请在不改变原数列顺序的前提下,从中随机的取出一定数量的整数,并使这些整数构成单调上升序列. 输出这类单调上升序列的最大长度. 数据范围:1<=n<=10 ...

  2. 1. 线性DP 300. 最长上升子序列 (LIS)

    最经典单串: 300. 最长上升子序列 (LIS) https://leetcode-cn.com/problems/longest-increasing-subsequence/submission ...

  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. 最长上升子序列 LIS(Longest Increasing Subsequence)

    引出: 问题描述:给出一个序列a1,a2,a3,a4,a5,a6,a7….an,求它的一个子序列(设为s1,s2,…sn),使得这个子序列满足这样的性质,s1<s2<s3<…< ...

  5. 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 ...

  6. 最长上升子序列LIS(51nod1134)

    1134 最长递增子序列 基准时间限制:1 秒 空间限制:131072 KB 分值: 0 难度:基础题 收藏 关注 给出长度为N的数组,找出这个数组的最长递增子序列.(递增子序列是指,子序列的元素是递 ...

  7. 【部分转载】:【lower_bound、upperbound讲解、二分查找、最长上升子序列(LIS)、最长下降子序列模版】

    二分 lower_bound lower_bound()在一个区间内进行二分查找,返回第一个大于等于目标值的位置(地址) upper_bound upper_bound()与lower_bound() ...

  8. 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 ...

  9. 题解 最长上升子序列 LIS

    最长上升子序列 LIS Description 给出一个 1 ∼ n (n ≤ 10^5) 的排列 P 求其最长上升子序列长度 Input 第一行一个正整数n,表示序列中整数个数: 第二行是空格隔开的 ...

  10. 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 ...

随机推荐

  1. 为了CET-4!

    Directions For tiis part,you are allowed 30 minutes to write an essay.Suppose there are two options ...

  2. Java 读者写者问题

    实验存档.V 允许好几个人同时读,但是不允许在有人读的时候写,以及同一时间只能有一个人在写. 读者.java: package operating.entity.readerwriter; impor ...

  3. Structural Inference of Hierarchies in Networks(网络层次结构推断)

    Structural Inference of Hierarchies in Networks(网络层次结构推断) 1. 问题 层次结构是一种重要的复杂网络性质.这篇文章给出了层次结构的精确定义,给出 ...

  4. javascript + sql编写SQL客户端工具tabris

    祝大家2018新年快乐, 前不久发现了一个创意的脚本JtSQL(java编写) 开源地址为:https://github.com/noear/JtSQL JtSQL 特点:*.结合了JS.SQL.模板 ...

  5. window下nginx的常用命令

    window nginx 启动 常用命令 2016-05-04 11:11 214人阅读 评论(0) 收藏 举报 分类: nginx(5) 版权声明:本文为博主原创文章,未经博主允许不得转载. 启动 ...

  6. 滚动条大于120px时,判断pc端的情况下,导航条固定定位

      //滚动条大于120px时,判断pc端的情况下,导航条固定定位 $(window).scroll(function(){ var viewWidth=$(document).width() var ...

  7. Android破解学习之路(六)——Android游戏 方块冒险 破解

    前言: 可能大家看到标题会有些懵逼,以为我发错了,这应该是五才对吧,其实,五我已经发了,不过被管理大大移出首页了,不知道这一篇是不是也会是同样的命运.. 今天所写的是关于支付宝内购的破解 原版 链接: ...

  8. mac安全权限解决

    如果有以下提示的,并不是文件损坏了,而是macOS Sierra新系统取消了安装本地程序的功能.   解决办法如下: 1.首先打开终端(找不到哪里打开终端 command+空格 搜索 "终端 ...

  9. python 列表赋值和列表 sort 方法注意的问题

    列表赋值 >>> a = b = [] >>> a.append() >>> a [] >>> b [] >>> ...

  10. php 抽象类abstract

    程序中,有些类的作用只是用来继承,无须实例化: 为了满足类的这种需求,php提供了抽象类的概念 ,关键词abstract: 抽象类原则: 抽象类不能被实例化 有抽象方法的类一定是抽象类:类必须要abs ...