Atcoder E - Knapsack 2 (01背包进阶版 ex )
E - Knapsack 2
Time Limit: 2 sec / Memory Limit: 1024 MB
Score : 100100 points
Problem Statement
There are NN items, numbered 1,2,…,N1,2,…,N. For each ii (1≤i≤N1≤i≤N), Item ii has a weight of wiwi and a value of vivi.
Taro has decided to choose some of the NN items and carry them home in a knapsack. The capacity of the knapsack is WW, which means that the sum of the weights of items taken must be at most WW.
Find the maximum possible sum of the values of items that Taro takes home.
Constraints
- All values in input are integers.
- 1≤N≤1001≤N≤100
- 1≤W≤1091≤W≤109
- 1≤wi≤W1≤wi≤W
- 1≤vi≤1031≤vi≤103
Input
Input is given from Standard Input in the following format:
NN WW
w1w1 v1v1
w2w2 v2v2
::
wNwN vNvN
Output
Print the maximum possible sum of the values of items that Taro takes home.
Sample Input 1 Copy
3 8
3 30
4 50
5 60
Sample Output 1 Copy
90
Items 11 and 33 should be taken. Then, the sum of the weights is 3+5=83+5=8, and the sum of the values is 30+60=9030+60=90.
Sample Input 2 Copy
1 1000000000
1000000000 10
Sample Output 2 Copy
10
Sample Input 3 Copy
6 15
6 5
5 6
6 4
6 6
3 5
7 2
Sample Output 3 Copy
17
Items 2,42,4 and 55 should be taken. Then, the sum of the weights is 5+6+3=145+6+3=14, and the sum of the values is 6+6+5=176+6+5=17.
题目链接:https://atcoder.jp/contests/dp/tasks/dp_e
思路:体积虽然很huge,但价值很小。把最大化价值,转成最小化体积,就还是原来的01背包了。(RUSH_D_CAT大佬指点的)
很不错的一个背包优化的思路,细节见我的代码。
#include <iostream>
#include <cstdio>
#include <cstring>
#include <algorithm>
#include <cmath>
#include <queue>
#include <stack>
#include <map>
#include <set>
#include <vector>
#define sz(a) int(a.size())
#define all(a) a.begin(), a.end()
#define rep(i,x,n) for(int i=x;i<n;i++)
#define repd(i,x,n) for(int i=x;i<=n;i++)
#define pii pair<int,int>
#define pll pair<long long ,long long>
#define gbtb ios::sync_with_stdio(false),cin.tie(0),cout.tie(0)
#define MS0(X) memset((X), 0, sizeof((X)))
#define MSC0(X) memset((X), '\0', sizeof((X)))
#define pb push_back
#define mp make_pair
#define fi first
#define se second
#define eps 1e-6
#define gg(x) getInt(&x)
using namespace std;
typedef long long ll;
inline void getInt(int* p);
const int maxn=;
const int inf=0x3f3f3f3f;
/*** TEMPLATE CODE * * STARTS HERE ***/
ll dp[maxn];
ll n,W;
ll v[maxn];
ll w[maxn];
int main()
{
memset(dp,0x3f,sizeof(dp));
gbtb;
cin>>n>>W;
repd(i,,n)
{
cin>>w[i]>>v[i];
}
ll ans=0ll;
dp[]=;
repd(i,,n)
{
for(int j=1e5;j>=v[i];--j)
{
{
dp[j]=min(dp[j],dp[j-v[i]]+w[i]);
if(dp[j]<=W)
ans=max(ans,(ll)(j));
}
}
}
cout<<ans<<endl;
return ;
} inline void getInt(int* p) {
char ch;
do {
ch = getchar();
} while (ch == ' ' || ch == '\n');
if (ch == '-') {
*p = -(getchar() - '');
while ((ch = getchar()) >= '' && ch <= '') {
*p = *p * - ch + '';
}
}
else {
*p = ch - '';
while ((ch = getchar()) >= '' && ch <= '') {
*p = *p * + ch - '';
}
}
}
Atcoder E - Knapsack 2 (01背包进阶版 ex )的更多相关文章
- Educational DP Contest E - Knapsack 2 (01背包进阶版)
题意:有\(n\)个物品,第\(i\)个物品价值\(v_{i}\),体积为\(w_{i}\),你有容量为\(W\)的背包,求能放物品的最大价值. 题解:经典01背包,但是物品的最大体积给到了\(10^ ...
- FZU 2214 Knapsack problem 01背包变形
题目链接:Knapsack problem 大意:给出T组测试数据,每组给出n个物品和最大容量w.然后依次给出n个物品的价值和体积. 问,最多能盛的物品价值和是多少? 思路:01背包变形,因为w太大, ...
- FZU - 2214 Knapsack problem 01背包逆思维
Knapsack problem Given a set of n items, each with a weight w[i] and a value v[i], determine a way t ...
- 2018.08.10 atcoder Median Sum(01背包)
传送门 题意简述:输入一个数组an" role="presentation" style="position: relative;">anan. ...
- Atcoder D - Knapsack 1 (背包)
D - Knapsack 1 Time Limit: 2 sec / Memory Limit: 1024 MB Score : 100100 points Problem Statement The ...
- HDU-1421-搬寝室(01背包改编版)
搬寝室是很累的,xhd深有体会.时间追述2006年7月9号,那天xhd迫于无奈要从27号楼搬到3号楼,因为10号要封楼了.看着寝室里的n件物品,xhd开始发呆,因为n是一个小于2000的整数,实在是太 ...
- Atcoder Beginner Contest145E(01背包记录路径)
#define HAVE_STRUCT_TIMESPEC#include<bits/stdc++.h>using namespace std;int a[3007],b[3007];int ...
- FOJProblem 2214 Knapsack problem(01背包+变性思维)
http://acm.fzu.edu.cn/problem.php?pid=2214 Accept: 4 Submit: 6Time Limit: 3000 mSec Memory Lim ...
- FZU 2214 ——Knapsack problem——————【01背包的超大背包】
2214 Knapsack problem Accept: 6 Submit: 9Time Limit: 3000 mSec Memory Limit : 32768 KB Proble ...
随机推荐
- Sqlserver分区表
1. 分区表简介 分区表在逻辑上是一个表,而物理上是多个表.从用户角度来看,分区表和普通表是一样的.使用分区表的主要目的是为改善大型表以及具有多个访问模式的表的可伸缩性和可管理性. 分区表是把数据按设 ...
- ATM-简单SQL查询
use master go if exists(select * from sysDatabases where name = 'BankDB') drop database BankDB go cr ...
- NPOI导入导出Excel工具类
using System; using System.Collections.Generic; using System.IO; using System.Linq; using System.Ref ...
- jQuery入门(1)
1.了解jQuery与JavaScript的区别 css --你的长相啦 Html --躯干 js --运动神经 jQuery就是对JavaScript的一个拓展,封装,就是让JavaScript更好 ...
- oracle- 数据表分区
1. 表分区概念 分区表是将大表的数据分成称为分区的许多小的子集.倘若硬盘丢失了分区表,数据就无法按顺序读取和写入,导致无法操作. 2. 表分区分类 (1)范围分区 create table tabl ...
- 手动搭建Docker本地私有镜像仓库
实验环境:两个Centos7虚拟机,一个是Server,用作客户端,另一个是Registry,用作Docker私有镜像仓库. 基础配置 查看一下两台虚拟机的IP地址 Server的IP地址是192.1 ...
- LeetCode算法题-Min Stack(Java实现)
这是悦乐书的第177次更新,第179篇原创 01 看题和准备 今天介绍的是LeetCode算法题中Easy级别的第36题(顺位题号是155).设计一个支持push,pop,top和在恒定时间内检索最小 ...
- June 3. 2018 Week 23rd Sunday
You only get one shot; do not miss your chance to blow. 机会只有一次,不要错过. From Eminem, "Lose Yoursel ...
- 一、tars简单介绍 二、tars 安装部署资料准备
1.github地址https://github.com/Tencent/Tars/ 2.tars是RPC开发框架,目前支持c++,java,nodejs,php 3.tars 在腾讯内部已经使用了快 ...
- 设计模式のIOC(控制反转)
一.什么是Ioc IoC(Inverse of Control)的字面意思是控制反转,它包括两个内容: 控制.反转 可以假设这样一个场景:火车运货,不同类型的车厢运送不同类型的货物,板车运送圆木,罐车 ...