题目

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"].

题解

这道题不仅仅是看是不是wordbreak,还需要在此基础上把所有word break的结果保存。

为了把所有可能性都保存,那么就使用DFS方法来解决。DFS主要就是跳的层次不容易看出,我下面就以字符串leetcode字典le l et eet code作为例子画了一张图,大概讲解了如何递回和返回,这样更加有助于理解。

Word Break II leetcode java-LMLPHP

代码如下:

 1     public boolean wordBreakcheck(String s, Set<String> dict) {
 2         if(s==null || s.length()==0)
 3             return true;
 4         boolean[] res = new boolean[s.length()+1];
 5         res[0] = true;
 6         for(int i=0;i<s.length();i++){
 7             StringBuilder str = new StringBuilder(s.substring(0,i+1));
 8             for(int j=0;j<=i;j++){
 9                 if(res[j] && dict.contains(str.toString())){
                     res[i+1] = true;
                     break;
                 }
                 str.deleteCharAt(0);
             }
         }
         return res[s.length()];
     }
     
     public ArrayList<String> wordBreak(String s, Set<String> dict) {  
         ArrayList<String> res = new ArrayList<String>();  
         if(s==null || s.length()==0)  
             return res;
         if(wordBreakcheck(s,dict))
             helper(s,dict,0,"",res);  
         return res;  
     }  
     private void helper(String s, Set<String> dict, int start, String item, ArrayList<String> res){  
         if(start>=s.length()){  
             res.add(item);  
             return;  
         }
         
         StringBuilder str = new StringBuilder();  
         for(int i=start;i<s.length();i++){  
             str.append(s.charAt(i));  
             if(dict.contains(str.toString())){  
                 String newItem = new String();  
                 if(item.length()>0)
                     newItem = item + " " + str.toString();
                 else
                     newItem = str.toString();
                 helper(s,dict,i+1,newItem,res);  
             }  
         }  
     }  

Reference: http://blog.csdn.net/linhuanmars/article/details/22452163

04-17 05:14