Minimum Window Substring

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 emtpy string "".

If there are multiple such windows, you are guaranteed that there will always be only one unique minimum window in S.

直接说思路吧,就是先统计T串中有多少个字符,分别出现了多少次,保存在Map map中,然后在S中找到第一个包含T中全部字符的串,设起始位置为start,结束位置为end。并记录下这个子串中T中每个字符出现的次数,保存在Map m中。

然后从start+1开始向后找到第一个在T中出现的字符,用char temp记录该字符,然后start向后找到第一个在T中出现的字符,若temp在m中出现次数大于在map中出现的次数,则比较end-start+1与min的大小并更新,否则end向后找到第一个等于temp的字符,然后更新min。

因为start和end都是从0到S.length遍历一次并且没有回溯,因此复杂度为O(n)。代码如下:

Minimum Window Substring
 1 Map<Character, Integer> map = new HashMap<Character, Integer>();
 2         int count = 0;
 3         for (int i = 0; i < T.length(); i++) {
 4             if (!map.containsKey(T.charAt(i))) {
 5                 map.put(T.charAt(i), 1);
 6             }else{
 7                 map.put(T.charAt(i), map.get(T.charAt(i))+1);
 8             }
 9             count++;
10         }
11         int min = Integer.MAX_VALUE;
12         int pos = 0;
13         int start = -1;
14         int end = 0;
15         // find first
16         Map<Character, Integer> m = new HashMap<Character, Integer>();
17         for(Character c:map.keySet()){
18             m.put(c, 0);
19         }
20         for (; count > 0 && start < S.length() && end < S.length(); ++end) {
21             if (m.containsKey(S.charAt(end))) {
22                 if (start == -1) {
23                     start = end;
24                 }
25                 if (m.get(S.charAt(end)) < map.get(S.charAt(end))) {
26                     count--;
27                 }
28                 m.put(S.charAt(end), m.get(S.charAt(end)) + 1);
29             }
30         }
31         ////////////////////////////////////////////////////
32         if (count > 0) {
33             return "";
34         }
35         min = end - start;
36         pos = start;
37         end--;
38         for (; start < S.length() && end < S.length();) {
39             for(;start<S.length();start++){
40                 if(m.containsKey(S.charAt(start))){
41                     break;
42                 }
43             }
44             if(start==S.length()){
45                 continue;
46             }
47             char temp = S.charAt(start);
48             for(++start;start<S.length();start++){
49                 if(m.containsKey(S.charAt(start))){
50                     break;
51                 }
52             }
53             if(start==S.length()){
54                 continue;
55             }
56             if(m.get(temp)>map.get(temp)){
57                 if(end-start+1<min){
58                     min = end-start+1;
59                     pos=start;
60                 }
61                 m.put(temp, m.get(temp)-1);
62                 continue;
63             }
64             for(++end;end<S.length();end++){
65                 if(S.charAt(end)==temp){
66                     break;
67                 }
68                 if(m.containsKey(S.charAt(end))){
69                     m.put(S.charAt(end), m.get(S.charAt(end))+1);
70                 }
71             }
72             if(end==S.length()){
73                 continue;
74             }
75             if(end-start+1<min){
76                 min = end-start+1;
77                 pos=start;
78             }        
79         }
80         return S.substring(pos, pos + min);
Minimum Window Substring

Minimum Window Substring

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Minimum Window Substring

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