POJ 2184 Cow Exhibition

Cow Exhibition
Time Limit: 1000MS Memory Limit: 65536K
Total Submissions: 11513 Accepted: 4565

Description

"Fat and docile(温顺的), big and dumb(哑的), they look so stupid, they aren't much
fun..."
- Cows with Guns by Dana Lyons

The cows want to prove to the public that they are both smart and fun. In order to do this, Bessie has organized an exhibition that will be put on by the cows. She has given each of the N (1 <= N <= 100) cows a thorough interview and determined two values for each cow: the smartness(机灵) Si (-1000 <= Si <= 1000) of the cow and the funness Fi (-1000 <= Fi <= 1000) of the cow.

Bessie must choose which cows she wants to bring to her exhibition. She believes that the total smartness TS of the group is the sum of the Si's and, likewise(同样地), the total funness TF of the group is the sum of the Fi's. Bessie wants to maximize(取…最大值) the sum of TS and TF, but she also wants both of these values to be non-negative(非负的) (since she must also show that the cows are well-rounded(丰满的); a negative(负的) TS or TF would ruin this). Help Bessie maximize the sum of TS and TF without letting either of these values become negative.

Input

* Line 1: A single integer(整数) N, the number of cows

* Lines 2..N+1: Two space-separated integers Si and Fi, respectively(分别地) the smartness and funness for each cow.

Output

* Line 1: One integer: the optimal(最佳的) sum of TS and TF such that both TS and TF are non-negative. If no subset(子集) of the cows has non-negative TS and non- negative TF, print 0.

Sample Input

5
-5 7
8 -6
6 -3
2 1
-8 -5

Sample Output

8

Hint

OUTPUT DETAILS:

Bessie chooses cows 1, 3, and 4, giving values of TS = -5+6+2 = 3 and TF
= 7-3+1 = 5, so 3+5 = 8. Note that adding cow 2 would improve the value
of TS+TF to 10, but the new value of TF would be negative, so it is not

allowed.


题意:每行给出si和fi,代表牛的两个属性,然后要求选出几头牛,是的则求出总S与总F的和,注意S与F都不能为负数
思路:很明显的就是取与不取的问题,对于这类问题的第一想法就是背包,但是这道题目很明显与一般的背包不同,因为有负数,但是联想到以前也有这种将负数存入下标的情况,那就是将数组开大,换一种存法
我们用dp[i]存放每个s[i]能得到的最佳F,那么我们就可以根据s[i]的取值采取两种不同的01背包取法,在取完之后,然后再根据背包的有无再去求得最佳答案即可


#include <stdio.h>
#include <string.h>
#include <algorithm>
using namespace std;
int dp[200005];
int main()
{
	int n, s[105], f[105], i, j, ans;
	while(scanf("%d", &n) != EOF)
	{
		for(i = 1; i <= n; i++)
			scanf("%d%d", &s[i], &f[i]);
		memset(dp, -0x3f, sizeof(dp));
		dp[100000] = 0;
		for(i = 1; i <= n; i++)
		{
			if(s[i] < 0 && f[i] < 0)
				continue;
			if(s[i] > 0)
			{
				for(j = 200000; j >= s[i]; j--)
					if(dp[j - s[i]] > -0x3f3f3f3f)
						dp[j] = max(dp[j], dp[j - s[i]] + f[i]);
			}
			else
			{
				for(j = 0; j <= 200000 + s[i]; j++)
					if(dp[j - s[i]] > -0x3f3f3f3f)
						dp[j] = max(dp[j], dp[j - s[i]] + f[i]);
			}
		}
		ans = -0x3f3f3f3f;
		for(i = 100000; i <= 200000; i++)
			if(dp[i] >= 0)
				ans = max(ans, dp[i] + i - 100000);
		printf("%d\n", ans);
	}
	return 0;
}


### 解题思路 POJ 3613 Cow Relays 问题要求计算在给定的图中,从起点到终点恰好经过 $k$ 条边的最短路径。常规的暴力解法,即每次走一步更新最短路径,时间复杂度为 $O(k * n^3)$,效率较低。可利用二进制思想和矩阵快速幂的方法,将时间复杂度优化到 $O(logK * n^3)$ [^2]。 具体思路如下: 1. **图的表示**:使用邻接矩阵来表示图,矩阵中的元素 `mat[i][j]` 表示从节点 `i` 到节点 `j` 的最短距离,初始值设为无穷大 `INF`。 2. **矩阵乘法的定义**:普通矩阵乘法是对应元素相乘再相加,而这里定义的矩阵乘法是对应元素相加再取最小值。即 `C.mat[i][j] = min(C.mat[i][j], A.mat[i][k] + B.mat[k][j])`,表示从节点 `i` 经过节点 `k` 到节点 `j` 的最短距离。 3. **矩阵快速幂**:通过不断地将矩阵自乘,利用二进制的思想,快速计算出经过 $k$ 条边的最短路径矩阵。 4. **节点编号映射**:由于节点编号可能不连续,使用一个数组 `f` 来将原始节点编号映射到连续的编号,方便矩阵操作。 ### 代码实现 以下是实现该算法的 C++ 代码: ```cpp #include <stdio.h> #include <string.h> #include <algorithm> #include <iostream> using namespace std; #define INF ((1<<30)-1) int n; struct matrix { int mat[201][201]; matrix() { for(int i = 0; i < 201; i++) for(int j = 0; j < 201; j++) mat[i][j] = INF; } }; int f[2001]; matrix mul(matrix A, matrix B) { matrix C; int i, j, k; for(i = 1; i <= n; i++) { for(j = 1; j <= n; j++) { for(k = 1; k <= n; k++) { C.mat[i][j] = min(C.mat[i][j], A.mat[i][k] + B.mat[k][j]); } } } return C; } matrix powmul(matrix A, int k) { matrix B; for(int i = 1; i <= n; i++) B.mat[i][i] = 0; while(k) { if(k & 1) B = mul(B, A); A = mul(A, A); k >>= 1; } return B; } int main() { matrix A; int k, t, s, e, a, b, c; scanf("%d%d%d%d", &k, &t, &s, &e); int num = 1; while(t--) { scanf("%d%d%d", &c, &a, &b); if(f[a] == 0) f[a] = num++; if(f[b] == 0) f[b] = num++; A.mat[f[a]][f[b]] = A.mat[f[b]][f[a]] = c; } n = num - 1; A = powmul(A, k); cout << A.mat[f[s]][f[e]] << endl; return 0; } ``` ### 代码解释 1. **结构体 `matrix`**:定义了一个矩阵结构体,用于存储图的邻接矩阵,构造函数将矩阵元素初始化为无穷大。 2. **函数 `mul`**:实现了自定义的矩阵乘法,计算两个矩阵相乘的结果。 3. **函数 `powmul`**:实现了矩阵快速幂,通过不断地将矩阵自乘,快速计算出经过 $k$ 条边的最短路径矩阵。 4. **主函数 `main`**:读取输入数据,将节点编号映射到连续的编号,初始化邻接矩阵,调用 `powmul` 函数计算经过 $k$ 条边的最短路径矩阵,最后输出从起点到终点的最短距离。
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