HDU5543-Pick The Sticks

本文解析了一个关于在一狭长容器内放置不同长度与价值的木棍以获得最大总价值的问题。介绍了问题背景及限制条件,并提供了一种动态规划解决方案。

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Pick The Sticks

                                                                     Time Limit: 15000/10000 MS (Java/Others)    Memory Limit: 65535/65535 K (Java/Others)
                                                                                                     Total Submission(s): 1750    Accepted Submission(s): 557


Problem Description
The story happened long long ago. One day, Cao Cao made a special order called "Chicken Rib" to his army. No one got his point and all became very panic. However, Cao Cao himself felt very proud of his interesting idea and enjoyed it.

Xiu Yang, one of the cleverest counselors of Cao Cao, understood the command Rather than keep it to himself, he told the point to the whole army. Cao Cao got very angry at his cleverness and would like to punish Xiu Yang. But how can you punish someone because he's clever? By looking at the chicken rib, he finally got a new idea to punish Xiu Yang.

He told Xiu Yang that as his reward of encrypting the special order, he could take as many gold sticks as possible from his desk. But he could only use one stick as the container.

Formally, we can treat the container stick as an  L  length segment. And the gold sticks as segments too. There were many gold sticks with different length  ai  and value  vi . Xiu Yang needed to put these gold segments onto the container segment. No gold segment was allowed to be overlapped. Luckily, Xiu Yang came up with a good idea. On the two sides of the container, he could make part of the gold sticks outside the container as long as the center of the gravity of each gold stick was still within the container. This could help him get more valuable gold sticks.

As a result, Xiu Yang took too many gold sticks which made Cao Cao much more angry. Cao Cao killed Xiu Yang before he made himself home. So no one knows how many gold sticks Xiu Yang made it in the container.

Can you help solve the mystery by finding out what's the maximum value of the gold sticks Xiu Yang could have taken?
 

Input
The first line of the input gives the number of test cases,  T(1T100) T  test cases follow. Each test case start with two integers,  N(1N1000)  and  L(1L2000) , represents the number of gold sticks and the length of the container stick.  N  lines follow. Each line consist of two integers,  ai(1ai2000) and  vi(1vi109) , represents the length and the value of the  ith  gold stick.
 

Output
For each test case, output one line containing  Case #x: y, where  x  is the test case number (starting from 1) and  y  is the maximum value of the gold sticks Xiu Yang could have taken.
 

Sample Input
  
  
4 3 7 4 1 2 1 8 1 3 7 4 2 2 1 8 4 3 5 4 1 2 2 8 9 1 1 10 3
 

Sample Output
  
  
Case #1: 2 Case #2: 6 Case #3: 11 Case #4: 3
Hint
In the third case, assume the container is lay on x-axis from 0 to 5. Xiu Yang could put the second gold stick center at 0 and put the third gold stick center at 5, so none of them will drop and he can get total 2+9=11 value. In the fourth case, Xiu Yang could just put the only gold stick center on any position of [0,1], and he can get the value of 3.
 

Source
 

Recommend
wange2014
 

题意:在一个狭长的容器里面放一些长木棍,每根木棍的长度和价值都不同,现在通过放置木棍使得能够得到的总价值最大。木棍放置不能重叠,对于任意一根木棍,只要他的重心落在容器里面,就算有一部分出去了,也算能够放下。

解题思路:有三种情况:1、0根木棍在外面。2、1根木棍在外面。3、2根木棍在外面。可以考虑多设一个维度。dp[j][k]代表占用长度j时候有k根露在外面的最大价值,然后背包。只把重心放在容器里面把体积的一半放进去,这是会出现小数的,所以我们应该把全部体积乘上2再计算。


#include <iostream>
#include <cstdio>
#include <cstring>
#include <string>
#include <algorithm>
#include <cmath>
#include <map>
#include <set>
#include <stack>
#include <queue>
#include <vector>
#include <bitset>

using namespace std;

#define LL long long
const int INF = 0x3f3f3f3f3f;

int n, l;
LL dp[5000][5];
struct node
{
	int l;
	LL val;
}x[3005];

int main()
{
	int t, cas = 0;
	scanf("%d", &t);
	while (t--)
	{
		scanf("%d%d", &n, &l);
		l *= 2;
		memset(dp, 0, sizeof dp);
		LL maval = 0;
		for (int i = 1; i <= n; i++)
		{
			scanf("%d%lld", &x[i].l, &x[i].val);
			maval = max(maval, x[i].val);
			x[i].l *= 2;
			for (int j = l; j >= x[i].l / 2; j--)
			{
				for (int k = 0; k<3; k++)
				{
					if (j - x[i].l >= 0) dp[j][k] = max(dp[j][k], dp[j - x[i].l][k] + x[i].val);
					if (k&&j - x[i].l / 2 >= 0) dp[j][k] = max(dp[j - x[i].l / 2][k - 1] + x[i].val, dp[j][k]);
				}
			}
		}
		for (int i = 1; i <= l; i++)
		{
			for (int j = 0; j<3; j++)
				maval = max(dp[i][j], maval);
		}
		printf("Case #%d: %lld\n", ++cas, maval);
	}
	return 0;
}

<think>好的,我现在需要帮助用户解决关于Dify循环实现的问题。首先,我需要明确用户的具体需求。他们提到“dify 循环实现”或“dify 如何处理循环”,但Dify本身可能没有直接称为“循环”的功能,所以需要结合现有文档中的信息来推断可能的解决方案。 根据用户提供的引用内容,Dify工作流中有迭代节点[^1]。这可能类似于编程中的循环结构,用于重复执行某个任务。例如,在处理列表数据或需要多次执行同一操作时,迭代节点可以派上用场。我需要详细解释迭代节点的配置和使用步骤,确保用户能够理解如何设置循环次数或遍历数据集。 另外,用户可能对如何处理循环中的错误或性能问题感兴趣。引用[2]提到在Dify中处理PEM文件的问题,这可能涉及在循环中正确处理数据格式,避免错误积累。需要提醒用户在循环中注意错误处理和资源管理,确保每次迭代的稳定性。 引用[3]中的例子展示了如何结合FastAPI和Selenium进行实时监控并生成GIF,这可能涉及循环截取浏览器内容。虽然Dify本身可能不直接控制这类循环,但可以通过外部脚本或定时任务触发工作流,模拟循环执行。这部分需要说明如何将外部循环机制与Dify结合使用。 接下来,我需要组织回答结构。首先介绍迭代节点的基本概念和配置步骤,然后讨论循环中的数据处理和错误处理,最后补充外部触发循环的方法。同时,生成相关问题以帮助用户进一步探索,比如优化循环性能或处理复杂数据结构。 需要确保回答符合格式要求,使用正确的中文表达,行内公式用$...$,独立公式用$$...$$,但当前问题不涉及数学公式,所以可能不需要使用。同时,引用标识要自然地添加到相关段落末尾,如、[^2]、[^3]。 最后,检查是否有遗漏点,比如Dify的其他循环相关功能或用户可能遇到的常见问题,确保回答全面且易于理解。</think>在Dify中处理循环逻辑主要通过**迭代节点**实现,以下是具体实现方式和应用场景的解析: ### 一、Dify循环实现机制 Dify通过**工作流设计器**中的迭代节点处理循环需求,其核心原理类似编程中的`for循环`。迭代节点可遍历以下数据类型: - 数组列表:`["A","B","C"]` - 字典集合:`{"key1":"value1", "key2":"value2"}` - 数值范围:通过`range()`函数生成序列 配置示例: ```python # 模拟迭代节点的数据输入 input_data = { "dataset": [1,2,3,4,5], "process_logic": "item * 2" # 对每个元素执行乘以2的操作 } ``` ### 二、迭代节点的关键配置步骤 1. **数据源绑定**:将数组/字典类型变量连接到迭代节点的输入端口 2. **循环变量命名**:设定当前元素的变量名(默认为`item`) 3. **子流程设计**:在迭代节点内部构建需要重复执行的逻辑模块 4. **结果聚合**:通过`outputs`收集所有迭代结果,支持数组或对象格式 $$ \text{总耗时} = \sum_{i=1}^{n}(单次迭代时间_i) + 系统开销 $$ ### 三、循环中的特殊处理 1. **错误中断控制**: - 启用`continueOnError`参数可跳过失败迭代 - 通过`try-catch`模块包裹敏感操作 2. **并行优化**: ```python # 伪代码示例 Parallel.forEach(dataset, lambda item: process(item)) ``` 3. **结果过滤**: ```python filtered = filter(lambda x: x%2==0, processed_results) ``` ### 四、应用场景案例 1. **批量文件处理**:遍历存储桶中的文件列表进行格式转换 2. **数据清洗**:对数据库查询结果集进行逐条校验 3. **API轮询**:定时循环调用第三方接口直到满足特定条件
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