• Leetcode: Word Ladder II


    Given two words (start and end), and a dictionary, find all shortest transformation sequence(s) from start to end, such that:
    
    Only one letter can be changed at a time
    Each intermediate word must exist in the dictionary
    For example,
    
    Given:
    start = "hit"
    end = "cog"
    dict = ["hot","dot","dog","lot","log"]
    Return
      [
        ["hit","hot","dot","dog","cog"],
        ["hit","hot","lot","log","cog"]
      ]

    Leetcode 里面通过概率最低的一道题,参看了别人的解法:利用bfs 层序遍历 如果队列中有end 那么结束遍历(到最短的一层就结束)

      1 import java.util.ArrayList;
      2 import java.util.HashMap;
      3 import java.util.HashSet;
      4 import java.util.LinkedList;
      5 import java.util.List;
      6 import java.util.Map;
      7 import java.util.Queue;
      8 import java.util.Set;
      9 
     10 public class Solution {
     11     class WordWithLevel {
     12         String word;
     13         int level;
     14 
     15         public WordWithLevel(String word, int level) {
     16             this.word = word;
     17             this.level = level;
     18         }
     19     }
     20 
     21     private String end;
     22     private ArrayList<ArrayList<String>> result;
     23     private Map<String, List<String>> nextMap;
     24 
     25     public ArrayList<ArrayList<String>> findLadders(String start, String end,
     26             HashSet<String> dict) {
     27         result = new ArrayList<ArrayList<String>>();
     28         this.end = end;
     29 
     30         // unvisited words set
     31         Set<String> unVisited = new HashSet<String>();
     32         unVisited.addAll(dict);
     33         unVisited.add(start);
     34         unVisited.remove(end);
     35 
     36         // used to record the map info of <word : the words of next level>
     37         nextMap = new HashMap<String, List<String>>();
     38         for (String e : unVisited) {
     39             nextMap.put(e, new ArrayList<String>());
     40         }
     41 
     42         // BFS to search from the end to start
     43         Queue<WordWithLevel> queue = new LinkedList<WordWithLevel>();
     44         queue.add(new WordWithLevel(end, 0));
     45         boolean found = false;
     46         int finalLevel = Integer.MAX_VALUE;
     47         int currentLevel = 0;
     48         int preLevel = 0;
     49         Set<String> visitedWordsInThisLevel = new HashSet<String>();
     50         while (!queue.isEmpty()) {
     51             WordWithLevel wordWithLevel = queue.poll();
     52             String word = wordWithLevel.word;
     53             currentLevel = wordWithLevel.level;
     54             if (found && currentLevel > finalLevel) {
     55                 break;
     56             }
     57             if (currentLevel > preLevel) {
     58                 unVisited.removeAll(visitedWordsInThisLevel);
     59             }
     60             preLevel = currentLevel;
     61             char[] wordCharArray = word.toCharArray();
     62             for (int i = 0; i < word.length(); ++i) {
     63                 char originalChar = wordCharArray[i];
     64                 boolean foundInThisCycle = false;
     65                 for (char c = 'a'; c <= 'z'; ++c) {
     66                     wordCharArray[i] = c;
     67                     String newWord = new String(wordCharArray);
     68                     if (c != originalChar && unVisited.contains(newWord)) {
     69                         nextMap.get(newWord).add(word);
     70                         if (newWord.equals(start)) {
     71                             found = true;
     72                             finalLevel = currentLevel;
     73                             foundInThisCycle = true;
     74                             break;
     75                         }
     76                         if (visitedWordsInThisLevel.add(newWord)) {
     77                             queue.add(new WordWithLevel(newWord,
     78                                     currentLevel + 1));
     79                         }
     80                     }
     81                 }
     82                 if (foundInThisCycle) {
     83                     break;
     84                 }
     85                 wordCharArray[i] = originalChar;
     86             }
     87         }
     88 
     89         if (found) {
     90             // dfs to get the paths
     91             ArrayList<String> list = new ArrayList<String>();
     92             list.add(start);
     93             getPaths(start, list, finalLevel + 1);
     94         }
     95         return result;
     96     }
     97 
     98     private void getPaths(String currentWord, ArrayList<String> list, int level) {
     99         if (currentWord.equals(end)) {
    100             result.add(new ArrayList<String>(list));
    101         } else if (level > 0) {
    102             List<String> parentsSet = nextMap.get(currentWord);
    103             for (String parent : parentsSet) {
    104                 list.add(parent);
    105                 getPaths(parent, list, level - 1);
    106                 list.remove(list.size() - 1);
    107             }
    108         }
    109     }
    110 }

    自己的解法还需要多想想:

     1 public class Solution {
     2     public ArrayList<ArrayList<String>> findLadders(String start, String end, Set<String> dict) {
     3         ArrayList<String> Ladder=new ArrayList<String>();
     4         ArrayList<ArrayList<String>> LadderList=new ArrayList<ArrayList<String>>();
     5         if(start.length() != end.length()) return LadderList;
     6         shortestladders(start, end, dict, Ladder, LadderList);
     7         return LadderList;
     8     }
     9     
    10     public void shortestladders(String start, String end, Set<String> dict, ArrayList<String> Ladder, ArrayList<ArrayList<String>> LadderList){
    11         Ladder.add(start);
    12         if(within(start, end)) { //end is only 1 bit different from start
    13             Ladder.add(end);
    14             if(LadderList.isEmpty()) { //LadderList is empty, so Ladder is definately shortest
    15                 LadderList.add(Ladder);
    16             }
    17             else { //LadderList is not empty, so need comparition
    18                 ArrayList<String> shortestLadder = LadderList.get(0); // select one from LadderList
    19                 if(Ladder.size() < shortestLadder.size()) { //new found Ladder is shorter than LadderList
    20                     LadderList.clear();
    21                     LadderList.add(Ladder);
    22                 }
    23                 else if(Ladder.size() == shortestLadder.size()) { //new found Ladder is the same with the LadderList,add to Ladderlist
    24                     LadderList.add(Ladder);
    25                 }
    26                 // new found Ladder is longer than elems in LadderList, so do not change LadderList
    27             }
    28             Ladder.remove(Ladder.size()-1); //remove end
    29         }
    30         
    31         else { //end is more than 1 bit different from start, so look for temp elems in dict which is 1 bit different from start
    32             if(!dict.isEmpty()) {
    33                 for(String temp:dict){
    34                     if(within(start, temp)){
    35                         dict.remove(start);
    36                         shortestladders(temp, end, dict, Ladder, LadderList);
    37                         dict.add(start);
    38                     }
    39                 }
    40             }
    41    
    42         }
    43         Ladder.remove(Ladder.size()-1); //remove start
    44     }
    45     
    46     public boolean within(String first, String second){
    47         int diff=0;
    48         for(int k=0; k<first.length(); k++){
    49             if(first.charAt(k)!=second.charAt(k)){
    50                 diff++;
    51             }
    52         }
    53         if(diff==1) return true;
    54         else return false;
    55     }
    56 }
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  • 原文地址:https://www.cnblogs.com/EdwardLiu/p/3771145.html
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