Given a string S and a string T, find the minimum window in S which will contain all the characters in T in complexity O(n).
For example,
S = "ADOBECODEBANC"
T = "ABC"
Minimum window is "BANC".
Note:
If there is no such window in S that covers all characters in T, return the empty string "".
If there are multiple such windows, you are guaranteed that there will always be only one unique minimum window in S.
思路一:最小滑动窗口方法,与substring with concatenation of all words的方法类似.
class Solution {
public:
string minWindow(string s, string t) {
string result="";
if(s.empty() || t.empty())
return result;
unordered_map<char,int> map,newMap;
for(int i=0;i<t.length();i++)
map[t[i]]++;
int min=0x7fffffff;
int start=0,end,count=0;
int sLen = s.length(),tLen = t.length();
for(end=0;end<sLen;end++)
{
if(map.find(s[end]) != map.end())
{
if(newMap[s[end]] < map[s[end]])
{
count++;
}
newMap[s[end]]++;
if(count == tLen)
{
while(map.find(s[start]) == map.end() || newMap[s[start]] > map[s[start]])
{
newMap[s[start]]--;
start++;
}
if(end-start+1 < min)
{
min = end-start+1;
result =s.substr(start,min);
}
}
}
}
return result;
}
};
本文介绍了一种在字符串S中寻找包含字符串T所有字符的最小子串的算法,采用滑动窗口方法实现O(n)复杂度。通过实例演示了算法的具体步骤。
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