ccc 2016 s4 Combining Riceballs

本文介绍了一个有趣的编程问题:如何通过合并大小相同的相邻或隔一个的三个饭团来形成最大的饭团。提供了完整的C++代码实现,包括初始化输入、动态规划算法解决过程及最终输出答案。

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Problem Description

Alphonse has N rice balls of various sizes in a row. He wants to form the largest rice ball possiblefor his friend to eat. Alphonse can perform the following operations:

• If two adjacent rice balls have the same size, Alphonse can combine them to make a newrice ball. The new rice ball’s size is the sum of the two old rice balls’ sizes. It occupies theposition in the row previously occupied by the two old rice balls.

• If two rice balls have the same size, and there is exactly one rice ball between them,Alphonse can combine all three rice balls to make a new rice ball. (The middle rice balldoes not need to have the same size as the other two.) The new rice ball’s size is the sum ofthe three old rice balls’ sizes. It occupies the position in the row previously occupied by the three old rice balls.

Alphonse can perform each operation as many times as he wants.Determine the size of the largest rice ball in the row after performing 0 or more operations.


#include <cstdio>
#include <cstring>
#include <algorithm>
using namespace std;

const int maxn = 400 + 5;
int n; int a[maxn]; int s[maxn];

void init() {
	scanf("%d", &n);
	for (int i = 0 ; i < n; i++) scanf("%d", &a[i]);
	s[0] = a[0];
	for (int i = 1; i < n; i++) s[i] = s[i - 1] + a[i];
}

int sum(int i, int j) {
	return s[j] - s[i] + a[i];
}

bool f[maxn][maxn];

void solve() {
	int ans = 0;
	memset(f, false, sizeof(f));
	for (int i = 0; i < n; i++) f[i][i] = true;
	
	for (int len = 1; len <= n; len ++ ) {
		for (int i = 0; i + len - 1 < n; i ++ ) {
			int j = i + len - 1;
			
			if (f[i][j]) { ans = max(ans, sum(i, j)); continue; }
			
			for (int k = i; k < j; k ++ ) {
				if (f[i][k] && f[k + 1][j] && sum(i, k) == sum(k + 1, j)) { f[i][j] = true; break; }
			}
			
			if (f[i][j]) { ans = max(ans, sum(i, j)); continue; }
			
			for (int len2 = 1; len2 <= len - 2; len2 ++ ) {
				if (f[i][j]) break;
				for (int k = i + 1; k + len2 <= j; k ++ ) {
					int t = k + len2 - 1;
					
					if (f[i][k - 1] && f[k][t] && f[t + 1][j] && sum(i, k - 1) == sum(t + 1, j)) {
						f[i][j] = true; break;
					}
				}
			}
			
			if (f[i][j]) ans = max(ans, sum(i, j));
		}
	}

	printf("%d\n", ans);
}

int main() {
	init(); solve();
	return 0;
}


内容概要:本文详细探讨了基于MATLAB/SIMULINK的多载波无线通信系统仿真及性能分析,重点研究了以OFDM为代表的多载波技术。文章首先介绍了OFDM的基本原理和系统组成,随后通过仿真平台分析了不同调制方式的抗干扰性能、信道估计算法对系统性能的影响以及同步技术的实现与分析。文中提供了详细的MATLAB代码实现,涵盖OFDM系统的基本仿真、信道估计算法比较、同步算法实现和不同调制方式的性能比较。此外,还讨论了信道特征、OFDM关键技术、信道估计、同步技术和系统级仿真架构,并提出了未来的改进方向,如深度学习增强、混合波形设计和硬件加速方案。; 适合人群:具备无线通信基础知识,尤其是对OFDM技术有一定了解的研究人员和技术人员;从事无线通信系统设计与开发的工程师;高校通信工程专业的高年级本科生和研究生。; 使用场景及目标:①理解OFDM系统的工作原理及其在多径信道环境下的性能表现;②掌握MATLAB/SIMULINK在无线通信系统仿真中的应用;③评估不同调制方式、信道估计算法和同步算法的优劣;④为实际OFDM系统的设计和优化提供理论依据和技术支持。; 其他说明:本文不仅提供了详细的理论分析,还附带了大量的MATLAB代码示例,便于读者动手实践。建议读者在学习过程中结合代码进行调试和实验,以加深对OFDM技术的理解。此外,文中还涉及了一些最新的研究方向和技术趋势,如AI增强和毫米波通信,为读者提供了更广阔的视野。
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