Description

 
 Cutting Sticks 

You have to cut a wood stick into pieces. The most affordable company, The Analog Cutting Machinery, Inc. (ACM), charges money according to the length of the stick being cut. Their procedure of work requires that they only make one cut at a time.

It is easy to notice that different selections in the order of cutting can led to different prices. For example, consider a stick of length 10 meters that has to be cut at 2, 4 and 7 meters from one end. There are several choices. One can be cutting first at 2, then at 4, then at 7. This leads to a price of 10 + 8 + 6 = 24 because the first stick was of 10 meters, the resulting of 8 and the last one of 6. Another choice could be cutting at 4, then at 2, then at 7. This would lead to a price of 10 + 4 + 6 = 20, which is a better price.

Your boss trusts your computer abilities to find out the minimum cost for cutting a given stick.

Input

The input will consist of several input cases. The first line of each test case will contain a positive number l that represents the length of the stick to be cut. You can assume l < 1000. The next line will contain the number n ( n < 50) of cuts to be made.

The next line consists of n positive numbers ci ( 0 < ci < l) representing the places where the cuts have to be done, given in strictly increasing order.

An input case with l = 0 will represent the end of the input.

Output

You have to print the cost of the optimal solution of the cutting problem, that is the minimum cost of cutting the given stick. Format the output as shown below.

Sample Input

100
3
25 50 75
10
4
4 5 7 8
0

Sample Output

The minimum cutting is 200.
The minimum cutting is 22.

 状态转移方程:d(i,j)=min(d(i,k)+d(k,j)+a[j]-a[i]) (i<k<j)

 #include <iostream>
#include <cstdio>
#include <cstring>
using namespace std; const int maxn=;
const int INF=;
int d[maxn][maxn],a[maxn],l,n;
inline int min(int a,int b){return a<b?a:b;} int dp(int i,int j)
{
if(i+==j) return d[i][j]=;
if(d[i][j]!=-) return d[i][j];
d[i][j]=INF;
for(int k=i+;k<j;k++)
d[i][j]=min(d[i][j],dp(i,k)+dp(k,j)+a[j]-a[i]);
return d[i][j];
}
int main()
{
while(~scanf("%d",&l),l)
{
scanf("%d",&n);
memset(d,-,sizeof(d));
for(int i=;i<=n;i++) scanf("%d",a+i);
a[]=;a[n+]=l;
printf("The minimum cutting is %d.\n",dp(,n+));
}
return ;
}

UVA 10003 Cutting Sticks(区间dp)的更多相关文章

  1. UVA 10003 Cutting Sticks 区间DP+记忆化搜索

    UVA 10003 Cutting Sticks+区间DP 纵有疾风起 题目大意 有一个长为L的木棍,木棍中间有n个切点.每次切割的费用为当前木棍的长度.求切割木棍的最小费用 输入输出 第一行是木棍的 ...

  2. uva 10003 Cutting Sticks(区间DP)

    题目连接:10003 - Cutting Sticks 题目大意:给出一个长l的木棍, 再给出n个要求切割的点,每次切割的代价是当前木棍的长度, 现在要求输出最小代价. 解题思路:区间DP, 每次查找 ...

  3. 10003 Cutting Sticks(区间dp)

      Cutting Sticks  You have to cut a wood stick into pieces. The most affordable company, The Analog ...

  4. uva 10003 Cutting Sticks 【区间dp】

    题目:uva 10003 Cutting Sticks 题意:给出一根长度 l 的木棍,要截断从某些点,然后截断的花费是当前木棍的长度,求总的最小花费? 分析:典型的区间dp,事实上和石子归并是一样的 ...

  5. UVA 10003 Cutting Sticks

    题意:在给出的n个结点处切断木棍,并且在切断木棍时木棍有多长就花费多长的代价,将所有结点切断,并且使代价最小. 思路:设DP[i][j]为,从i,j点切开的木材,完成切割需要的cost,显然对于所有D ...

  6. UVa 10003 - Cutting Sticks(区间DP)

    链接: https://uva.onlinejudge.org/index.php?option=com_onlinejudge&Itemid=8&page=show_problem& ...

  7. uva 10003 Cutting Sticks (区间dp)

    本文出自   http://blog.csdn.net/shuangde800 题目链接:  打开 题目大意 一根长为l的木棍,上面有n个"切点",每个点的位置为c[i] 要按照一 ...

  8. UVA 10003 Cutting Sticks 切木棍 dp

    题意:把一根木棍按给定的n个点切下去,每次切的花费为切的那段木棍的长度,求最小花费. 这题出在dp入门这边,但是我看完题后有强烈的既是感,这不是以前做过的石子合并的题目变形吗? 题目其实就是把n+1根 ...

  9. UVA - 10003 Cutting Sticks(切木棍)(dp)

    题意:有一根长度为L(L<1000)的棍子,还有n(n < 50)个切割点的位置(按照从小到大排列).你的任务是在这些切割点的位置处把棍子切成n+1部分,使得总切割费用最小.每次切割的费用 ...

随机推荐

  1. SQLServer锁原理和锁的类型

    1.锁的用途 为了避免同时争夺数据库资源,将数据库加锁,只有拿到钥匙的用户才能使用: 2.锁的粒度 行锁(Row)--->页锁(Page)--->区锁(Partition 8个页)---- ...

  2. python - 日期处理模块

    首先就是模块的调用,很多IDE都已经安装好了很多Python经常使用到的模块,所以我们暂时不需要安装模块了. ? 1 2 3 import datetime import time import ca ...

  3. Ping 命令的执行过程和应用协议

    1. ICMP是“Internet Control Message Ptotocol”的缩写.它是TCP/IP协议族的一个子协议,用于在IP主机.路由器之间传递控制消息. 控制消息是指网络通不通.主机 ...

  4. pandas处理大文本数据

    当数据文件是百万级数据时,设置chunksize来分批次处理数据 案例:美国总统竞选时的数据分析 读取数据 import numpy as np import pandas as pdfrom pan ...

  5. MySQL 查询优化之 Block Nested-Loop 与 Batched Key Access Joins

    MySQL 查询优化之 Block Nested-Loop 与 Batched Key Access Joins 在MySQL中,可以使用批量密钥访问(BKA)连接算法,该算法使用对连接表的索引访问和 ...

  6. Golang 简单静态web服务器

    直接使用 net.http 包,非常方便 // staticWeb package main import ( "fmt" "net/http" "s ...

  7. 【Python高级工程师之路】入门+进阶+实战+爬虫+数据分析整套教程

    点击了解更多Python课程>>> 全网最新最全python高级工程师全套视频教程学完月薪平均2万 什么是Python? Python是一门面向对象的编程语言,它相对于其他语言,更加 ...

  8. pre-commit钩子,代码质量检查

    目前基本使用三款js代码质量检查工具: jslint, jshint, eslint.许多IDE里面也有对应的检查插件,在每次ctrl + s 保存文件的时候,检查当前文件是否符合规范,保证代码质量. ...

  9. 文件处理seek以及修改内容的两种方式

    f.seek(offset,whence)offset代表文件的指针的偏移量,单位是字节byteswhence代表参考物,有三个取值# 0:参照文件的开头# 1:参照当前文件指针所在位置# 2: 参照 ...

  10. Boostrap的自适应功能

    其实理解栅栏模式之后,自适应功能就简单很多了,根据浏览器的大小,Boostrap有四种栅栏类名提供使用,用法与Css样式表类名选择器样式调用是一样的: xs:col-xs-1 ~ col-xs-12, ...