joj 2045: Mountains

本文介绍了一个关于山脉组成的算法问题,定义了山脉和山丘的构成规则,并给出了通过特定指数来唯一标识每一座山脉的方法。同时提供了一个示例程序,用于根据输入的指数打印出对应的山脉。

2045: Mountains


ResultTIME LimitMEMORY LimitRun TimesAC TimesJUDGE
1s8192K7937Standard

A mountain consists of one or more hills, each of which consists of upwards, which we denote with `/', and downwards, which we denote with '/'. We call upwards and downwards together as wards. Let /n be an upward of length n, and in the same way, let /n be a downward of length n. For example, the following upward is /2:

 /
/

and the following downward is /3:

/
 /
  /

The set of all hills is given in the following:

Hills =def { /n/n | n is a natural number }

Now it comes to the definition of a mountain(in BNF):

Mountain ::= Hill | Mountain Mountain

That's to say, a hill is a mountain, and if M and N are mountains, then the concatenation of M and N is also a mountain.

For example,

     //
/////  /

is a mountain with 3 hills.

We define the width of a mountain as the number of upwards and downwards. We define the height of a mountain as the maximum length of upwards(or equivalently downwards).

We can give each mountain a unique number, called index, such that the following conditions are met:

  1. index begins with 1
  2. the index of a mountain with larger width is larger
  3. if two mountains have the same width, then the index of the mountain whose leftmost different ward with the other mountain is an upward is larger

For example, portion of the mountains and their indices are:

                 //                    //                   //         //
//     ////     /  /     //////     ///  /     ...     /////  /     ///  ///     ...

1       2        3         4          5                   9            10

In this problem, you are print the mountain from the given index.

Input

The input contains several lines, each of which contains an integer N<2^32. The last line contains 0, which you should not proceed.

Output

For each N, your program should print the mountain. For simplicity, you needn't make the mountain climbing. You can imagine that the mountain finally printed is the one after being flattened. For example, for N=9, your program should simply print:

////////

.

Each mountain should be printed in a single line.

Sample Input

6
9
0

Sample Output

//////
//////// 

 

Problem Source: siyee

 


This problem is used for contest: 9  171   

 

 

【电能质量扰动】基于ML和DWT的电能质量扰动分类方法研究(Matlab实现)内容概要:本文研究了一种基于机器学习(ML)和离散小波变换(DWT)的电能质量扰动分类方法,并提供了Matlab实现方案。首先利用DWT对电能质量信号进行多尺度分解,提取信号的时频域特征,有效捕捉电压暂降、暂升、中断、谐波、闪变等常见扰动的关键信息;随后结合机器学习分类器(如SVM、BP神经网络等)对提取的特征进行训练与分类,实现对不同类型扰动的自动识别与准确区分。该方法充分发挥DWT在信号去噪与特征提取方面的优势,结合ML强大的模式识别能力,提升了分类精度与鲁棒性,具有较强的实用价值。; 适合人群:电气工程、自动化、电力系统及其自动化等相关专业的研究生、科研人员及从事电能质量监测与分析的工程技术人员;具备一定的信号处理基础和Matlab编程能力者更佳。; 使用场景及目标:①应用于智能电网中的电能质量在线监测系统,实现扰动类型的自动识别;②作为高校或科研机构在信号处理、模式识别、电力系统分析等课程的教学案例或科研实验平台;③目标是提高电能质量扰动分类的准确性与效率,为后续的电能治理与设备保护提供决策依据。; 阅读建议:建议读者结合Matlab代码深入理解DWT的实现过程与特征提取步骤,重点关注小波基选择、分解层数设定及特征向量构造对分类性能的影响,并尝试对比不同机器学习模型的分类效果,以全面掌握该方法的核心技术要点。
评论 2
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