LeetCode_Word Ladder
Given two words (start and end), and a dictionary, find the length of shortest transformation sequence from start to end, such that: Only one letter can be changed at a time
Each intermediate word must exist in the dictionary
For example, Given:
start = "hit"
end = "cog"
dict = ["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.
DFS 小数据AC:
class Solution {
public:
bool check(const string & a, const string &b)
{
int num = ;
if(a.size() != b.size()) return false;
for(int i = ; i< a.size() ; i++)
{
if(a[i] != b[i])
num++;
}
return num == ;
}
void DFS(const string &start, const string &end, unordered_set<string> &dict, vector<bool> &flag, int nums){
if(start == end ){
res = res > nums ? nums : res;
return ;
}
int i;auto it = dict.begin();
for( i= ; it != dict.end(); it++,i++)
if(flag[i] == false && check(start,*it))
{
flag[i] = true;
DFS(*it,end,dict, flag, nums+);
flag[i] = false;
}
}
int ladderLength(string start, string end, unordered_set<string> &dict) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
res = dict.size() + ;
vector<bool> flag(dict.size(), false);
DFS(start, end, dict, flag, );
if(res == dict.size() + ) return ;
return res + ;
}
private :
int res;
};
BFS: 过大数据
class Solution {
public:
int ladderLength(string start, string end, unordered_set<string> &dict) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
if(start.size() != end.size()) return ;
if(dict.size() == ) return ;
queue<string> myqueue, myqueueT;
myqueue.push(start);
int depth = ;
while(!myqueue.empty()){
depth++;
while(!myqueue.empty()){
string str = myqueue.front();
myqueue.pop();
for(int i = ; i < str.size() ; i++){
char temp = str[i] ;
for(char c = 'a'; c <= 'z' ;c++){
if(c == temp) continue;
str[i] = c;
if(str == end) return depth;
auto it = dict.find(str) ;
if(it != dict.end() ){
myqueueT.push(str);
dict.erase(it);
}
}
str[i] = temp;
}
}
myqueue.swap( myqueueT);
}
//don't find
return ;
}
};
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