摘要:题目解答主要解题思路的,把每一种可能的都放进去试,看能不能有一条线边到代码当然,这样的时间还不是最优化的,如果我们从两头扫,扫到中间任何一个能够串联起来都可以,如果没有找到可以串联的那么返回。
题目:
Given two words (beginWord and endWord), and a dictionary"s word list, find the length of shortest transformation sequence from beginWord to endWord, such that:
Only one letter can be changed at a time
Each intermediate word must exist in the word list
For example,
Given:
beginWord = "hit"
endWord = "cog"
wordList = ["hot","dot","dog","lot","log"]
As one shortest transformation is "hit" -> "hot" -> "dot" -> "dog" -> "cog",
return its length 5.
Note:
Return 0 if there is no such transformation sequence.
All words have the same length.
All words contain only lowercase alphabetic characters.
解答:
主要解题思路的bfs,把每一种可能的character都放进去试,看能不能有一条线边到endWord.
代码:
public class Solution { public int ladderLength(String beginWord, String endWord, SetwordList) { //BFS to solve the problem int count = 1; Set reached = new HashSet (); reached.add(beginWord); wordList.add(endWord); while (!reached.contains(endWord)) { Set toAdd = new HashSet (); for (String word : reached) { for (int i = 0; i < word.length(); i++) { char[] chars = word.toCharArray(); for (char c = "a"; c <= "z"; c++) { chars[i] = c; String newWord = String.valueOf(chars); if (wordList.contains(newWord)) { toAdd.add(newWord); wordList.remove(newWord); } } } } count++; if (toAdd.size() == 0) return 0; reached = toAdd; } return count; } }
当然,这样的时间还不是最优化的,如果我们从两头扫,扫到中间任何一个word能够串联起来都可以,如果没有找到可以串联的word,那么返回0。代码如下:
public class Solution { public int ladderLength(String beginWord, String endWord, SetwordList) { int count = 1; Set beginSet = new HashSet (); Set endSet = new HashSet (); Set visited = new HashSet (); beginSet.add(beginWord); endSet.add(endWord); while (!beginSet.isEmpty() && !endSet.isEmpty()) { if (beginSet.size() > endSet.size()) { Set temp = beginSet; beginSet = endSet; endSet = temp; } Set toAdd = new HashSet (); for (String word : beginSet) { for (int i = 0; i < word.length(); i++) { char[] chars = word.toCharArray(); for (char c = "a"; c <= "z"; c++) { chars[i] = c; String newWord = String.valueOf(chars); if (endSet.contains(newWord)) return count + 1; if (!visited.contains(newWord) && wordList.contains(newWord)) { toAdd.add(newWord); visited.add(newWord); } } } } count++; beginSet = toAdd; } return 0; } }
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