Uvalive—5462 Coconuts, Revisited

本文深入探讨了Ben Ames Williams所著短篇小说《Coconuts》中蕴含的数学逻辑,通过重新构建故事背景,提出了如何计算原始椰子数量的问题,并详细解释了解决方法。进一步地,文章扩展了问题的边界,探索了已知椰子数量时的最大参与人数,通过实例展示了求解过程。此研究不仅揭示了文学作品中隐藏的数学趣味,还提供了解决类似问题的思路。

The short story titled Coconuts, by Ben Ames Williams, appeared in the Saturday Evening Post on October 9, 1926. The story tells about five men and a monkey who were shipwrecked on an island. They spent the first night gathering coconuts. During the night, one man woke up and decided to take his share of the coconuts. He divided them into five piles. One coconut was left over so he gave it to the monkey, then hid his share and went back to sleep.


Soon a second man woke up and did the same thing. After dividing the coconuts into five piles, one coconut was left over which he gave to the monkey. He then hid his share and went back to bed. The third, fourth, and fifth man followed exactly the same procedure. The next morning, after they all woke up, they divided the remaining coconuts into five equal shares. This time no coconuts were left over.


An obvious question is ``how many coconuts did they originally gather?" There are an infinite number of answers, but the lowest of these is 3,121. But that's not our problem here.


Suppose we turn the problem around. If we know the number of coconuts that were gathered, what is the maximum number of persons (and one monkey) that could have been shipwrecked if the same procedure could occur?

Input 

The input will consist of a sequence of integers, each representing the number of coconuts gathered by a group of persons (and a monkey) that were shipwrecked. The sequence will be followed by a negative number.

Output 

For each number of coconuts, determine the largest number of persons who could have participated in the procedure described above. Display the results similar to the manner shown below, in the Sample Output. There may be no solution for some of the input cases; if so, state that observation.

Sample Input 

25

30

3121

-1

Sample Output 

25 coconuts, 3 people and 1 monkey

30 coconuts, no solution

3121 coconuts, 5 people and 1 monkey

 

题目大意:一群水手(s人)和猴子流浪在一个孤岛上,为了生存,水手们采集了一些椰子,夜晚的时候第一个人醒来,把椰子分成s份,发现多了一个,就把多的这个给了猴子,取走其中一份,剩下s-1份,第二个人醒来也做了同样的事……一直到第s个人取完,剩下的椰子刚好能分成s份。问题是倒过来的,给出n个椰子,问最多有多少人分。

 

思路:刚开始想到用打表的方法把1-10人的所有椰子数打出来,查表即可,后来wa了几次,才明白这样打漏了情况,比如当有三个人时,椰子数可能25,也可能是一个大于25的数,后来想想,算了直接模拟吧!根据n个椰子枚举1-10人正确便退出,坑爹的是,在pojhdu都过得代码,uvalivewa,后来检查,才发现手误打错了一个判断条件,可见pojhdu的数据有多水!

code:
#include <iostream>
#include <cmath>
#include <cstring>
#include <cstdio>
using namespace std;
typedef long long ll;
ll n;
int ok(int m) //暴力枚举函数
{
for (int i=0;i<m;i++)
{
if ((n-1)%m!=0) return 0;
else n=(n-1)/m*(m-1);
}
if (n%m==0) return 1;
return 0; //此处误写成1在poj和hdu也能过
}
int main()
{
while (~scanf("%lld",&n))
{
if (n<0) break;
printf("%lld coconuts, ",n);
bool t=true;
ll k=n;
for (int i=100;i>1;i--)
{
if (ok(i)==1)
{
printf("%d people and 1 monkey\n",i);
t=false;
break;
}
else n=k; //一定不能省
}
if (t) printf("no solution\n");
}
}

7-364 Coconuts, Revisited 分数 10 作者 伍健全 单位 重庆科技大学 The short story titled Coconuts, by Ben Ames Williams, appeared in the Saturday Evening Post on October 9, 1926. The story tells about five men and a monkey who were shipwrecked on an island. They spent the first night gathering coconuts. During the night, one man woke up and decided to take his share of the coconuts. He divided them into five piles. One coconut was left over so he gave it to the monkey, then hid his share and went back to sheep. Soon a second man woke up and did the same thing. After dividing the coconuts into five piles, one coconut was left over which he gave to the monkey. He then hid his share and went back to bed. The third, fourth, and fifth man followed exactly the same procedure. The next morning, after they all woke up, they divided the remaining coconuts into five equal shares. This time no coconuts were left over. An obvious question is "how many coconuts did they originally gather?" There are an infinite number of answers, but the lowest of these is 3,121. But that's not our problem here. Suppose we turn the problem around. If we know the number of coconuts that were gathered, what is the maximum number of persons (and one monkey) that could have been shipwrecked if the same procedure could occur? 输入格式: The input will consist of a sequence of integers, each representing the number of coconuts gathered by a group of persons (and a monkey) that were shipwrecked. The sequence will be followed by a negative number. 输出格式: For each number of coconuts, determine the largest number of persons who could have participated in the procedure described above. Display the results similar to the manner shown below, in the Expected Output. There may be no solution for some of the input cases; if so, state that observation. 输入样例: 在这里给出一组输入。例如: 25 30 3121 -1 输出样例: 在这里给出相应的输出。例如: 25 coconuts, 3 persons and 1 monkey 30 coconuts, no solution 3121 coconuts, 5 persons and 1 monkey 代码长度限制 16 KB 时间限制 400 ms 内存限制 64 MB 栈限制 8192 KB C (gcc) 1 c语言
11-14
解决这个问题King Julien rules the Madagascar island whose primary crop is coconuts. If the price of coconuts is P , then King Julien’s subjects will demand D(P ) = 1200 &minus; 100P coconuts per week for their own use. The number of coconuts that will be supplied per week by the island’s coconut growers is S(p) = 100P. (a) (2 pts) Calculate the equilibrium price and quantity for coconuts. (b) (2 pts) One day, King Julien decided to tax his subjects in order to collect coconuts for the Royal Larder. The king required that every subject who consumed a coconut would have to pay a coconut to the king as a tax. Thus, if a subject wanted 5 coconuts for himself, he would have to purchase 10 coconuts and give 5 to the king. When the price that is received by the sellers is pS, how much does it cost one of the king’s subjects to get an extra coconut for himself? (c) (3 pts) When the price paid to suppliers is pS, how many coconuts will the king’s subjects demand for their own consumption (as a function of pS)? 2 (d) (2 pts) Under the above coconut tax policy, determine the total number of coconuts demanded per week by King Julien and his subjects as a function of pS. (e) (3 pts) Calculate the equilibrium value of pS, the equilibrium total number of coconuts produced, and the equilibrium total number of coconuts consumed by Julien’s subjects. (f) (5 pts) King Julien’s subjects resented paying the extra coconuts to the king, and whispers of revolution spread through the palace. Worried by the hostile atmosphere, the king changed the coconut tax. Now, the shopkeepers who sold the coconuts would be responsible for paying the tax. For every coconut sold to a consumer, the shopkeeper would have to pay one coconut to the king. For this new policy, calculate the number of coconuts being sold to the consumers, the value per coconuts that the shopkeepers got after paying their tax to the king, and the price payed by the consumers.
03-07
【电力系统】单机无穷大电力系统短路故障暂态稳定Simulink仿真(带说明文档)内容概要:本文档围绕“单机无穷大电力系统短路故障暂态稳定Simulink仿真”展开,提供了完整的仿真模型与说明文档,重点研究电力系统在发生短路故障后的暂态稳定性问题。通过Simulink搭建单机无穷大系统模型,模拟不同类型的短路故障(如三相短路),分析系统在故障期间及切除后的动态响应,包括发电机转子角度、转速、电压和功率等关键参数的变化,进而评估系统的暂态稳定能力。该仿真有助于理解电力系统稳定性机理,掌握暂态过程分析方法。; 适合人群:电气工程及相关专业的本科生、研究生,以及从事电力系统分析、运行与控制工作的科研人员和工程师。; 使用场景及目标:①学习电力系统暂态稳定的基本概念与分析方法;②掌握利用Simulink进行电力系统建模与仿真的技能;③研究短路故障对系统稳定性的影响及提高稳定性的措施(如故障清除时间优化);④辅助课程设计、毕业设计或科研项目中的系统仿真验证。; 阅读建议:建议结合电力系统稳定性理论知识进行学习,先理解仿真模型各模块的功能与参数设置,再运行仿真并仔细分析输出结果,尝试改变故障类型或系统参数以观察其对稳定性的影响,从而深化对暂态稳定问题的理解。
本研究聚焦于运用MATLAB平台,将支持向量机(SVM)应用于数据预测任务,并引入粒子群优化(PSO)算法对模型的关键参数进行自动调优。该研究属于机器学习领域的典型实践,其核心在于利用SVM构建分类模型,同时借助PSO的全局搜索能力,高效确定SVM的最优超参数配置,从而显著增强模型的整体预测效能。 支持向量机作为一种经典的监督学习方法,其基本原理是通过在高维特征空间中构造一个具有最大间隔的决策边界,以实现对样本数据的分类或回归分析。该算法擅长处理小规模样本集、非线性关系以及高维度特征识别问题,其有效性源于通过核函数将原始数据映射至更高维的空间,使得原本复杂的分类问题变得线性可分。 粒子群优化算法是一种模拟鸟群社会行为的群体智能优化技术。在该算法框架下,每个潜在解被视作一个“粒子”,粒子群在解空间中协同搜索,通过不断迭代更新自身速度与位置,并参考个体历史最优解和群体全局最优解的信息,逐步逼近问题的最优解。在本应用中,PSO被专门用于搜寻SVM中影响模型性能的两个关键参数——正则化参数C与核函数参数γ的最优组合。 项目所提供的实现代码涵盖了从数据加载、预处理(如标准化处理)、基础SVM模型构建到PSO优化流程的完整步骤。优化过程会针对不同的核函数(例如线性核、多项式核及径向基函数核等)进行参数寻优,并系统评估优化前后模型性能的差异。性能对比通常基于准确率、精确率、召回率及F1分数等多项分类指标展开,从而定量验证PSO算法在提升SVM模型分类能力方面的实际效果。 本研究通过一个具体的MATLAB实现案例,旨在演示如何将全局优化算法与机器学习模型相结合,以解决模型参数选择这一关键问题。通过此实践,研究者不仅能够深入理解SVM的工作原理,还能掌握利用智能优化技术提升模型泛化性能的有效方法,这对于机器学习在实际问题中的应用具有重要的参考价值。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值