算法: 词梯子127. Word Ladder
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127. Word Ladder
A transformation sequence from word beginWord to word endWord using a dictionary wordList is a sequence of words beginWord -> s1 -> s2 -> … -> sk such that:
- Every adjacent pair of words differs by a single letter.
- Every si for 1 <= i <= k is in wordList. Note that beginWord does not need to be in wordList.
- sk == endWord
Given two words, beginWord and endWord, and a dictionary wordList, return the number of words in the shortest transformation sequence from beginWord to endWord, or 0 if no such sequence exists.
Example 1:
Input: beginWord = "hit", endWord = "cog", wordList = ["hot","dot","dog","lot","log","cog"]
Output: 5
Explanation: One shortest transformation sequence is "hit" -> "hot" -> "dot" -> "dog" -> cog", which is 5 words long.
Example 2:
Input: beginWord = "hit", endWord = "cog", wordList = ["hot","dot","dog","lot","log"]
Output: 0
Explanation: The endWord "cog" is not in wordList, therefore there is no valid transformation sequence.
Constraints:
- 1 <= beginWord.length <= 10
- endWord.length == beginWord.length
- 1 <= wordList.length <= 5000
- wordList[i].length == beginWord.length
- beginWord, endWord, and wordList[i] consist of lowercase English letters.
- beginWord != endWord
- All the words in wordList are unique.
广度优先算法
广度优先算法,想象一下类似wave波浪一圈一圈往外扩展,问题迎刃而解。
class Solution {
public int ladderLength(String beginWord, String endWord, List<String> wordList) {
Set<String> set = new HashSet<>();
for (String s: wordList) set.add(s);
int count = 1;
set.remove(beginWord);
Deque<String> deque = new LinkedList<>();
deque.offer(beginWord);
while (!deque.isEmpty()) {
int size = deque.size();
count++;
for (int i = 0; i < size; i++) {
char[] chars = deque.pollFirst().toCharArray();
for (int k = 0; k < chars.length; k++) {
char c = chars[k];
for (char rc = 'a'; rc <= 'z'; rc++) {
if (rc == c) continue;
chars[k] = rc;
String news = String.valueOf(chars);
if (set.remove(news)) {
if (news.equals(endWord)) return count;
deque.offer(news);
}
chars[k] = c;
}
}
}
}
return 0;
}
}
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