洛谷P4141消失之物

题目描述

ftiasch 有 N 个物品, 体积分别是 W1, W2, …, WN。 因为她的疏忽, 第 i 个物品丢失了。 “要使用剩下的 N – 1 物品装满容积为 x 的背包,有几种方法呢?” — 这是经典的问题了。她把答案记为 Count(i, x) ,想要获得全部1 <= i <= N, 1 <= x <= M的 Count(i, x) 表格。html

输入输出格式

输入格式:ios

 

第1行:两个整数 N (1 ≤ N ≤ 2 × 10^3)N(1N2×103) 和 M (1 ≤ M ≤ 2 × 10^3)M(1M2×103),物品的数量和最大的容积。git

第2行: N 个整数 W1, W2, …, WN, 物品的体积。spa

 

输出格式:rest

 

一个 N × M 的矩阵, Count(i, x)的末位数字。code

 

This DP is pretty hard.htm

First we should know that F[i][j] means that how many funcation what we can have when we put i's stuff in the bag which has j's volume.blog

If the i's stuff had to taken, it wil  be f[i-1][j-w[i]], else, it will be f[i-1][j], So we can get the funcation :f[i][j]=f[i-1][j]+f[i-1][j-w[i];get

we can use rounded array change it to f[j]=f[j]+f[j-w[i]].string

So, how can we get the count ?

we had to enumeration whitch stuff we had lost.

if w[i]>j, that means, all of the answer has include the stuff i, because it was bigger than the volume. Therefore, the answer should be f[j] , which means take all of the answer.

if w[i]<=j, that means there are some anwer has be counted. what we should do is minus the rest of stuff(except i) to pull in j-w[i]. which is f[j]-c[i][j-w[i]]

if w[i]==0 , the c[i][j] will be 1.

that's all.

 

#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#define in(a) a=read()
#define REP(i,k,n)  for(int i=k;i<=n;i++) 
using namespace std;
inline int read(){
    int x=0,f=1;
    char ch=getchar();
    for(;!isdigit(ch);ch=getchar())
        if(ch=='-')
            f=-1;
    for(;isdigit(ch);ch=getchar())
        x=x*10+ch-'0';
    return x*f;
} 
int n,m;
int f[2010],c[2010][2010],w[2010]; 
int main(){
    in(n),in(m);
    REP(i,1,n)  in(w[i]); 
    f[0]=1;  
    REP(i,1,n)
        for(int j=m;j>=w[i];j--) 
            f[j]=(f[j]+f[j-w[i]])%10;
    REP(i,1,n){
        c[i][0]=1;
        REP(j,1,m){ 
            if(j<w[i])  c[i][j]=f[j];
            else  c[i][j]=(f[j]-c[i][j-w[i]]+10)%10;
            printf("%d",c[i][j]);
        }
        printf("\n");     
    } 
    return 0;
} 
相关文章
相关标签/搜索