Codeforces Round #277.5 (Div. 2)A——SwapSort

本文介绍了一个简单的算法,用于通过一系列的元素交换操作来对数组进行排序。该算法确保了交换次数不超过数组长度,并详细展示了如何查找并执行这些交换,最终实现非降序排列。
A. SwapSort
time limit per test
1 second
memory limit per test
256 megabytes
input
standard input
output
standard output

In this problem your goal is to sort an array consisting of n integers in at most n swaps. For the given array find the sequence of swaps that makes the array sorted in the non-descending order. Swaps are performed consecutively, one after another.

Note that in this problem you do not have to minimize the number of swaps — your task is to find any sequence that is no longer than n.

Input

The first line of the input contains integer n (1 ≤ n ≤ 3000) — the number of array elements. The second line contains elements of array: a0, a1, ..., an - 1 ( - 109 ≤ ai ≤ 109), where ai is the i-th element of the array. The elements are numerated from 0 to n - 1 from left to right. Some integers may appear in the array more than once.

Output

In the first line print k (0 ≤ k ≤ n) — the number of swaps. Next k lines must contain the descriptions of the k swaps, one per line. Each swap should be printed as a pair of integers i, j (0 ≤ i, j ≤ n - 1), representing the swap of elements ai and aj. You can print indices in the pairs in any order. The swaps are performed in the order they appear in the output, from the first to the last. It is allowed to print i = j and swap the same pair of elements multiple times.

If there are multiple answers, print any of them. It is guaranteed that at least one answer exists.

Sample test(s)
Input
5
5 2 5 1 4
Output
2
0 3
4 2
Input
6
10 20 20 40 60 60
Output
0
Input
2
101 100
Output
1
0 1

        排个序,然后和排序前对照,不一样就往后找到应该在这一位上的数,然后交换


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

using namespace std;

int a[3030];
int b[3030];

struct node
{
	int x, y;
}pp[3030];

int main()
{
	int n;
	while (~scanf("%d", &n))
	{
		int cnt = 0;
		for (int i = 0; i < n; ++i)
		{
			scanf("%d", &a[i]);
			b[i] = a[i];
		}
		sort(b, b + n);
		int x, y;
		for (int i = 0; i < n; ++i)
		{
			if (a[i] == b[i])
			{
				continue;
			}
			x = i;
			for (int j = i + 1; j < n; ++j)
			{
				if (a[j] == b[i])
				{
					y = j;
					break;
				}
			}
			++cnt;
			pp[cnt].x = x;
			pp[cnt].y = y;
			a[x] ^= a[y];
			a[y] ^= a[x];
			a[x] ^= a[y];
		}
		printf("%d\n", cnt);
		for (int i = 1; i <= cnt; ++i)
		{
			printf("%d %d\n", pp[i].x, pp[i].y);
		}
	}
	return 0;
}


版权声明:本文博主原创文章,博客,未经同意不得转载。

基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究(Matlab代码实现)内容概要:本文围绕“基于可靠性评估序贯蒙特卡洛模拟法的配电网可靠性评估研究”,介绍了利用Matlab代码实现配电网可靠性的仿真分析方法。重点采用序贯蒙特卡洛模拟法对配电网进行长时间段的状态抽样与统计,通过模拟系统元件的故障与修复过程,评估配电网的关键可靠性指标,如系统停电频率、停电持续时间、负荷点可靠性等。该方法能够有效处理复杂网络结构与设备时序特性,提升评估精度,适用于含分布式电源、电动汽车等新型负荷接入的现代配电网。文中提供了完整的Matlab实现代码与案例分析,便于复现和扩展应用。; 适合人群:具备电力系统基础知识和Matlab编程能力的高校研究生、科研人员及电力行业技术人员,尤其适合从事配电网规划、运行与可靠性分析相关工作的人员; 使用场景及目标:①掌握序贯蒙特卡洛模拟法在电力系统可靠性评估中的基本原理与实现流程;②学习如何通过Matlab构建配电网仿真模型并进行状态转移模拟;③应用于含新能源接入的复杂配电网可靠性定量评估与优化设计; 阅读建议:建议结合文中提供的Matlab代码逐段调试运行,理解状态抽样、故障判断、修复逻辑及指标统计的具体实现方式,同时可扩展至不同网络结构或加入更多不确定性因素进行深化研究。
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