【题目】

Given two words (start and end), and a dictionary, find all shortest transformation sequence(s) from start to end, such that:

  1. Only one letter can be changed at a time
  2. 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"]
]

Note:

  • All words have the same length.
  • All words contain only lowercase alphabetic characters.

【题意】

    给定两个单词start和end, 一个词典,找到全部的最短转换序列。

几个注意事项:
    1. 每次变换仅仅能改变一个字符
    2. 变换的中间单词必须在词典中
    3. 全部单词长度同样
    4. 全部单词字符都小写

【思路】

     思路和word Ladder是同样的,仅仅只是本题须要把左右的序列输出。

     为了恢复转换序列在搜索的过程中,我们须要记录每一个可达单词的前继单词(所谓单词可达,就是start通过若干次字符变换后能够转换成当前单词)。

     一旦我们找到end, 我们就能够通过前继恢复路径。这跟用dijkstra找最短路径的方法事实上非常相似。

    

【代码】

class Solution {
public:
void getSequences(vector<vector<string> >&result, vector<string>&sequence, string&start, string end, map<string, vector<string> >&percursors){
sequence.push_back(end);
if(start==end){
vector<string> v=sequence;
reverse(v.begin(), v.end());
result.push_back(v);
return;
} //找end的前驱
vector<string> pres = percursors[end];
for(int i=0; i<pres.size(); i++){
getSequences(result, sequence, start, pres[i], percursors);
sequence.pop_back();
}
} vector<vector<string> > findLadders(string start, string end, unordered_set<string> &dict) {
vector<vector<string> > result;
if(start==end)return result; //记录前驱的map
map<string, vector<string> > percursors;
//标记是否已经找到最短序列
bool isFind=false;
//交替存储相邻
queue<string> q1;
queue<string> q2;
q1.push(start);
//找前驱
while(!q1.empty() || !q2.empty()){
//存放当前层单词
set<string> words;
if(!q1.empty()){
while(!q1.empty()){
string curword=q1.front(); q1.pop();
for(int i=0; i<curword.length(); i++){
string tword=curword;
for(char c='a'; c<='z'; c++){
if(c!=curword[i]){
tword[i]=c;
//推断是否是end
if(tword==end){
isFind=true;
//保存前驱
percursors[tword].push_back(curword);
//保存当前层单词
words.insert(tword);
}
else if(dict.find(tword)!=dict.end()){
//假设tword在词典中。则保存它的前驱
percursors[tword].push_back(curword);
//保存当前层单词
words.insert(tword);
}
}
}
}
}
//将当前层的单词保存到q2
for(set<string>::iterator it=words.begin(); it!=words.end(); it++){
q2.push(*it);
dict.erase(*it);
}
}
else{
while(!q2.empty()){
string curword=q2.front(); q2.pop();
for(int i=0; i<curword.length(); i++){
string tword=curword;
for(char c='a'; c<='z'; c++){
if(c!=curword[i]){
tword[i]=c;
//推断是否是end
if(tword==end){
isFind=true;
//保存前驱
percursors[tword].push_back(curword);
//保存当前层单词
words.insert(tword);
}
else if(dict.find(tword)!=dict.end()){
//假设tword在词典中,则保存它的前驱
percursors[tword].push_back(curword);
//保存当前层单词
words.insert(tword);
}
}
}
}
}
//将当前层的单词保存到q1
for(set<string>::iterator it=words.begin(); it!=words.end(); it++){
q1.push(*it);
dict.erase(*it);
}
}
if(isFind)break;
}
//生成全部序列
vector<string>sequence;
getSequences(result, sequence, start, end, percursors);
return result;
}
};

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