• Word Ladder


    1 题目

     1 Given two words (start and end), and a dictionary, find the length of shortest transformation sequence from start to end, such that:
     2 
     3 Only one letter can be changed at a time
     4 Each intermediate word must exist in the dictionary
     5 For example,
     6 
     7 Given:
     8 start = "hit"
     9 end = "cog"
    10 dict = ["hot","dot","dog","lot","log"]
    11 As one shortest transformation is "hit" -> "hot" -> "dot" -> "dog" -> "cog",
    12 return its length 5.
    13 
    14 Note:
    15 Return 0 if there is no such transformation sequence.
    16 All words have the same length.
    17 All words contain only lowercase alphabetic characters.
    View Code

    2 解法

    a 单源最短路径

    根据单词的距离是否为1,建立任意两个单词的联系。然后求图的单源最短路径。

    b 遍历

    方法a在节点比较多时,会挂掉。

    该题题目是Word Ladder,暗含单词长度有限的条件,所以可以用25个字母逐一替换单词的某个位置,观察生成的新的单词是否存在于dict中。

    实际上题目给出的字典列表为Map(而不是List),也暗示了这一点。

    由于判断word是否存在于dict的效率是非常高的。该方法可以得到不超时的解:

     1 package leetcode;
     2 
     3 import java.util.HashSet;
     4 import java.util.Set;
     5 
     6 public class WordLadder {
     7 
     8     /**
     9      * Given two words (start and end), and a dictionary, find the length of
    10      * shortest transformation sequence from start to end, such that:
    11      * 
    12      * Only one letter can be changed at a time Each intermediate word must
    13      * exist in the dictionary
    14      * 
    15      * For example,
    16      * 
    17      * Given: start = "hit" end = "cog" dict = ["hot","dot","dog","lot","log"]
    18      * As one shortest transformation is "hit" -> "hot" -> "dot" -> "dog" ->
    19      * "cog", return its length 5.
    20      * 
    21      * Note: Return 0 if there is no such transformation sequence. All words
    22      * have the same length. All words contain only lowercase alphabetic
    23      * characters.
    24      */
    25 
    26     protected boolean oneDiff(String word, String s) {
    27         if (word.length() != s.length() || word.equals(s)) {
    28             return false;
    29         }
    30         int flag = 0;
    31         for (int i = 0; i < s.length(); i++) {
    32             if (s.charAt(i) != word.charAt(i)) {
    33                 flag++;
    34             }
    35             if (flag > 1) {
    36                 return false;
    37             }
    38         }
    39         return true;
    40     }
    41 
    42     public void extractOneDiffWords(Set<String> dict, Set<String> visited,
    43             String word) {
    44         StringBuffer sb;
    45         for (int i = 0; i < word.length(); i++) {
    46             for (char c = 'a'; c <= 'z'; c++) {
    47                 sb = new StringBuffer(word);
    48                 sb.setCharAt(i, c);
    49                 if (dict.contains(sb.toString())) { 
    50                     visited.add(sb.toString());
    51                     dict.remove(sb.toString());
    52                 }
    53             }
    54         }
    55     }
    56 
    57     public int ladderLength(String start, String end, Set<String> dict) {
    58         int minLen = 0;
    59         if (start.equals(end) || oneDiff(start, end)) {
    60             return minLen+2;
    61         }
    62         dict.add(end);
    63         Set<String> visited = new HashSet<String>();
    64         Set<String> visitedTmp = null;
    65         extractOneDiffWords(dict, visited, start);
    66         while (!visited.isEmpty() && !dict.isEmpty()) {
    67             minLen++;
    68             visitedTmp = visited;
    69             visited = new HashSet<String>();
    70             for (String word : visitedTmp) {
    71                 extractOneDiffWords(dict, visited, word);
    72             }
    73             if (visited.contains(end)) {
    74                 return minLen + 2;
    75             }
    76         }
    77         return 0;
    78     }
    79 }
    View Code
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  • 原文地址:https://www.cnblogs.com/yanyichao/p/4001769.html
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