Edit Distance

Given two words word1 and word2, find the minimum number of steps required to convert word1 to word2. (each operation is counted as 1 step.)

You have the following 3 operations permitted on a word:

a) Insert a character b) Delete a character c) Replace a character

思路:动态规划。 
                       D[i+1][j+1] = D[i][j];                                             word1[i] == word2[j],
 D[i+1][j+1] = min(min(D[i][j+1], D[i+1][j]), D[i][j]) + 1;              otherwise.

class Solution {
public:
int minDistance(string word1, string word2) {
vector<vector<int> > D(word1.size()+1, vector<int>(word2.size()+1, 0));
for(int j = 0; j <= word2.size(); ++j)
D[0][j] = j;
for(int i = 0; i <= word1.size(); ++i)
D[i][0] = i;
for(int i = 0; i < word1.size(); ++i) {
for(int j = 0; j < word2.size(); ++j) {
if(word1[i] == word2[j])
D[i+1][j+1] = D[i][j];
else D[i+1][j+1] = min(min(D[i][j+1], D[i+1][j]), D[i][j]) + 1;
}
}
return D[word1.size()][word2.size()];
}
};

Simplify Path

Given an absolute path for a file (Unix-style), simplify it.

For example, path = "/home/", => "/home" path = "/a/./b/../../c/", => "/c"

click to show corner cases.

Corner Cases:
  • Did you consider the case where path = "/../"? In this case, you should return "/".
  • Another corner case is the path might contain multiple slashes '/' together, such as "/home//foo/". In this case, you should ignore redundant slashes and return "/home/foo".

注意: /...,    /.home,   /..h2me,   /ho_Me/...   为合法路径。

思路: 从头往尾读: 如是 / 和字符,数字,下划线 , 好判断。若是 '.', 则分情况即可。

inline bool isAlpha(char ch) {
return(('a' <= ch && ch <= 'z') || ('A' <= ch && ch <= 'Z'));
}
inline bool isAlphaOrUnderline(char ch) {
return isAlpha(ch) || (ch == '_');
}
inline bool isValid(char ch) {
return isAlphaOrUnderline(ch) || ('0' <= ch && ch <= '9');
}
class Solution {// the first alpha should be '/'
public:
string simplifyPath(string path) {
string ans;
path.insert(0, 1, '/'); // but without this state. is OK too.
for(size_t i = 0; i < path.size(); ++i) {
if(path[i] == '.') {
if(i < path.size()-1 && isAlphaOrUnderline(path[i+1])) { ans.push_back('.'); continue;}
else if(i < path.size()-2 && path[i+1] == '.' && (isAlphaOrUnderline(path[i+2]) || path[i+2] == '.')) {
i += 2;
ans.insert(ans.size(), 2, '.');
ans.push_back(path[i]);
continue;
}
}
if(path[i] == '/' && !ans.empty() && ans.back() == '/') continue;
if('0' <= path[i] && path[i] <= '9' && !ans.empty() && ans.back() == '/') continue;
if(path[i] == '/' || isValid(path[i])) ans.push_back(path[i]);
else if(path[i] == '.' && i < path.size()-1 && path[i+1] == '.') {
++i;
if(ans.size() > 1 && ans.back() == '/') ans.pop_back();
while(!ans.empty() && ans.back() != '/') ans.pop_back();
}
}
if(ans.size() > 1 && ans.back() == '/')ans.pop_back();
return ans;
}
};

56. Edit Distance && Simplify Path的更多相关文章

  1. 动态规划小结 - 二维动态规划 - 时间复杂度 O(n*n)的棋盘型,题 [LeetCode] Minimum Path Sum,Unique Paths II,Edit Distance

    引言 二维动态规划中最常见的是棋盘型二维动态规划. 即 func(i, j) 往往只和 func(i-1, j-1), func(i-1, j) 以及 func(i, j-1) 有关 这种情况下,时间 ...

  2. Min Edit Distance

    Min Edit Distance ----两字符串之间的最小距离 PPT原稿参见Stanford:http://www.stanford.edu/class/cs124/lec/med.pdf Ti ...

  3. eclipse调试(debug)的时候,出现Source not found,Edit Source Lookup Path,一闪而过

    问题描述 使用Eclipse调试代码的时候,打了断点,经常出现Source not found,网上找了半天,大部分提示点击Edit Source Lookup Path,添加被调试的工程,然而往往没 ...

  4. [LeetCode] One Edit Distance 一个编辑距离

    Given two strings S and T, determine if they are both one edit distance apart. 这道题是之前那道Edit Distance ...

  5. [LeetCode] Edit Distance 编辑距离

    Given two words word1 and word2, find the minimum number of steps required to convert word1 to word2 ...

  6. Edit Distance

    Edit Distance Given two words word1 and word2, find the minimum number of steps required to convert  ...

  7. 编辑距离——Edit Distance

    编辑距离 在计算机科学中,编辑距离是一种量化两个字符串差异程度的方法,也就是计算从一个字符串转换成另外一个字符串所需要的最少操作步骤.不同的编辑距离中定义了不同操作的集合.比较常用的莱温斯坦距离(Le ...

  8. LintCode Edit Distance

    LintCode Edit Distance Given two words word1 and word2, find the minimum number of steps required to ...

  9. stanford NLP学习笔记3:最小编辑距离(Minimum Edit Distance)

    I. 最小编辑距离的定义 最小编辑距离旨在定义两个字符串之间的相似度(word similarity).定义相似度可以用于拼写纠错,计算生物学上的序列比对,机器翻译,信息提取,语音识别等. 编辑距离就 ...

随机推荐

  1. 【Android】Android清除本地数据缓存代码

    最近做软件的时候,遇到了缓存的问题,在网上看到了这个文章,感觉不错.分享给大家看看 文章出处:http://www.cnblogs.com/rayray/p/3413673.html /* * 文 件 ...

  2. elasticsearch的服务器响应异常及应对策略

    目录: 1 _riverStatus Import_fail 2 es_rejected_execution_exception <429> 3 create_failed_engine_ ...

  3. hdu 1047 (big integer sum, fgets or scanf, make you func return useful infos) 分类: hdoj 2015-06-18 08:21 39人阅读 评论(0) 收藏

    errors made, boundary conditions, <= vs < , decreasing vs increasing , ++, –, '0'/'1' vs 0/1 p ...

  4. sql 跨域

    1. 开通分布式查询权限 reconfigure reconfigure 2. 查询 ',NETACS.dbo.tb_car) a select * from opendatasource('SQLO ...

  5. C# List和String互相转换

    List转字符串,用逗号隔开 List<string> list = new List<string>();list.Add("a");list.Add(& ...

  6. Objective-C学习笔记-第一天(2)

    Objective-C中的协议,相当于Java中的接口 参考:http://www.cnblogs.com/zzy0471/p/3894307.html 一个简单的协议遵循: PersonProtoc ...

  7. UIkit框架之uUInavigationController

    1.继承链:UIviewcontroller:uiresponder:NSObject 2.如果你想使用一些动画转换,可以遵守 UINavigationControllerDelegate 3.创建导 ...

  8. LVM逻辑卷管理

    一.LVM简介 LVM(Logic Volume Manager)逻辑卷管理,简单理解就是将一块或多块硬盘的分区在逻辑上集合,当一块大硬盘来使用. 其特点是: 1.可以实现在线动态扩展,也可以缩减 2 ...

  9. MapReduce介绍

    一.MapReduce模型 1.MapReduce是大规模数据(TB级)计算的利器,Map和Reduce是它的主要思想,来源于函数式编程语言. 2.Map负责将数据打散,Reduce负责对数据进行聚集 ...

  10. 关于 MaxScript 获取所有贴图

    相关内容记录在官方文档 BitmapTexture : TextureMap 中 fn allUsedMaps = ( sceneMaps = usedMaps() for m in meditmat ...