博文中会简要介绍Leetcode P0126题目分析及解题思路。
“Word Ladder II”是p0127的变形题,这道题是一道相对较难的广度优先搜索题目,利用初始的word
数组构造一个无向图,每个结点代表一个单词,然后从起始单词所代表的结点开始BFS,然后记录所有同层的解即可。
GGiven two words (beginWord and endWord), and a dictionary’s word list, find all shortest transformation sequence(s) from beginWord to endWord, such that:
- Only one letter can be changed at a time.
- Each transformed word must exist in the word list. Note that beginWord is not a transformed word.
Note:
- Return an empty list if there is no such transformation sequence.
- All words have the same length.
- All words contain only lowercase alphabetic characters.
- You may assume no duplicates in the word list.
- You may assume beginWord and endWord are non-empty and are not the same.
Example 1:
Input: beginWord = "hit", endWord = "cog", wordList = ["hot","dot","dog","lot","log","cog"] Output: [ ["hit","hot","dot","dog","cog"], ["hit","hot","lot","log","cog"] ]
最基本的思路是通过word
数组来构建一个无向图,然后从起始单词所指向的结点使用广度优先搜索,这样一来一旦搜索到和结束单词一样的单词,此时的路径长度一定是最短的,而所有和这条路径一样短的其他路径必然与这个路径处在同一层。
并且我们可以通过反向映射,即将单词改变一个字母后可能产生的形态(即Wildcards)映射到可以具有这样形态的实际单词上,来优化BFS对邻接结点的遍历。
以下是Java的题解代码实现。
class Solution {
public List<List<String>> findLadders(String beginWord, String endWord, List<String> wordList) {
wordList.add(beginWord);
int N = wordList.size();
Map<String, List<Integer>> wildcard2WordsMap = new HashMap<>();
Map<Integer, List<String>> word2WildcardsMap = new HashMap<>();
// Construct the map, by mapping words to their generic wildcards
for (int itr=0; itr<N; ++itr) {
String word = wordList.get(itr);
char[] chars = word.toCharArray();
for (int idx=0; idx<chars.length; ++idx) {
chars[idx] = '*';
String wildcard = String.valueOf(chars);
// Update the mapper, mapping words to their generic wildcards
List<Integer> words = wildcard2WordsMap.getOrDefault(wildcard, new ArrayList<>());
words.add(itr);
wildcard2WordsMap.put(wildcard, words);
// Update the mapper, mapping generic wildcards to their word
List<String> wildcards = word2WildcardsMap.getOrDefault(itr, new ArrayList<>());
wildcards.add(wildcard);
word2WildcardsMap.put(itr, wildcards);
chars[idx] = word.charAt(idx);
}
}
// BFS
List<List<String>> ladders = new ArrayList<>();
Queue<Pair<Integer, List<String>>> queue = new LinkedList<>();
boolean[] isVisited = new boolean[N];
int shortest = -1;
List<String> sequence = new ArrayList<>();
sequence.add(wordList.get(N-1));
queue.add(new Pair<>(N-1, sequence));
while (!queue.isEmpty()) {
Pair<Integer, List<String>> u = queue.poll();
if (shortest != -1 && u.getValue().size() >= shortest)
break;
isVisited[u.getKey()] = true;
// Scan through all the generic wildcards
for (String wildcard: word2WildcardsMap.get(u.getKey())) {
// Scan through all the words that have such a generic wildcard
for (int index: wildcard2WordsMap.get(wildcard)) {
// Extend the path
List<String> ladder = new ArrayList<>(u.getValue());
ladder.add(wordList.get(index));
// Find a path
if (endWord.equals(wordList.get(index))) {
ladders.add(ladder);
shortest = ladder.size();
}
if (!isVisited[index])
queue.add(new Pair<>(index, ladder));
}
}
}
return ladders;
}
}