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  • LeetCode: Word Break I && II

    title:

    https://leetcode.com/problems/word-break/

    Given a string s and a dictionary of words dict, determine if s can be segmented into a space-separated sequence of one or more dictionary words.

    For example, given
    s = "leetcode",
    dict = ["leet", "code"].

    Return true because "leetcode" can be segmented as "leet code".

    思路:一开始就考虑直接使用dfs超时了。。。

    class Solution {
    public:
        bool wordBreak(string s, unordered_set<string>& wordDict) {
            if (s.size() == 0)
                return true;
            string tmp;
            for (int i = 0; i < s.size(); i++){
                tmp.push_back(s[i]);
                if (wordDict.find(tmp) != wordDict.end()){
                    string tmp1(s.begin()+i+1,s.end());
                    if (wordBreak(tmp1,wordDict))
                        return true;
                }
            }
            return false;
        }
    };

    其实对于这样的问题,是可以想到是可以使用动态规划的。

    一个DP问题。定义possible[i] 为S字符串上[0,i]的子串是否可以被segmented by dictionary.

    那么

    possible[i] = true      if  S[0,i]在dictionary里面

                    = true      if   possible[k] == true 并且 S[k+1,j]在dictionary里面, 0<k<i

                   = false      if    no such k exist.

    class Solution {
    public:
        bool wordBreak(string s, unordered_set<string>& wordDict) {
            int len = s.size();
            vector<bool> dp(len+1,false);
            dp[0] = true;
            for (int i = 1; i < len+1; i++){
                for (int k = 0; k < i; k++){
                    if (dp[k] && wordDict.find(s.substr(k,i-k)) != wordDict.end()){
                        dp[i] = true;
                        break;//break是因为题目只是需要判断是否存在
                    }
                }
            }
            return dp[len];
        }
    };

    II

    https://leetcode.com/problems/word-break-ii/

    title:

    Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each word is a valid dictionary word.

    Return all such possible sentences.

    For example, given
    s = "catsanddog",
    dict = ["cat", "cats", "and", "sand", "dog"].

    A solution is ["cats and dog", "cat sand dog"].

    思路:使用dp,并且保存中间结果。注意,在I中找到一个解就直接break,这里需要记录下这个信息。另外prev[i][j]为true表示字串[j,i]在字典中

    class Solution {
    public:
        vector<string> wordBreak(string s, unordered_set<string>& wordDict) {
            
    
            int len = s.size();
            vector<bool> dp(len+1,false);
            vector<vector<bool> > prev(len+1,vector<bool>(len,false));
            dp[0] = true;
            for (int i = 1; i < len+1; i++){
                for (int k = 0; k < i; k++){
                    if (dp[k] && wordDict.find(s.substr(k,i-k)) != wordDict.end()){
                        dp[i] = true;
                        prev[i][k] = true;
                    }
                }
            }
            vector<string> result;
            vector<string> results;
            genPath(len,s,dp,prev,result,results);
            return results;
        }
    
        void genPath(int cur,string s, vector<bool> dp,vector<vector<bool> > prev, vector<string> &result,vector<string> &results){
            if (cur == 0){
                string tmp;
                for (int i = result.size()-1; i > 0; i--){
                    tmp += result[i] + " ";
                }
                tmp += result[0];
                results.push_back(tmp);
                return ;
            }
            for (int i = 0; i  < s.size(); i++){
                if (prev[cur][i]){
                    result.push_back(s.substr(i,cur-i));
                    genPath(i,s,dp,prev,result,results);
                    result.pop_back();
                }
            }
        }
    };
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  • 原文地址:https://www.cnblogs.com/yxzfscg/p/4525074.html
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