Given a string s, find the longest palindromic substring in s. You may assume that the maximum length of sis 1000.
Example 1:
Input: "babad" Output: "bab" Note: "aba" is also a valid answer.
Example 2:
Input: "cbbd" Output: "bb"
方法1:暴力算法,这种就没写出来,和前面的题目实现类似
方法2:这个方式不是暴力算法,但是也比较复杂
package leetcode;
import org.junit.Test;
/**
* @author zhangyu
* @version V1.0
* @ClassName: LongestPalindromicSubstring
* @Description: TOTO
* @date 2018/12/6 19:12
**/
public class LongestPalindromicSubstring2 {
@Test
public void fun() {
String s = "aaab";
String subString = longestPalindromicSubstring(s);
System.out.println(subString);
}
private String longestPalindromicSubstring(String s) {
StringBuilder s1 = new StringBuilder();
StringBuilder s2 = new StringBuilder();
for (int i = 0; i < s.length(); i++) {
s1 = s1.length() >= maxS(s, i, i).length() ? s1 : maxS(s, i, i);
s2 = s2.length() >= maxS(s, i, i + 1).length() ? s2 : maxS(s, i, i + 1);
}
return s1.length() >= s2.length() ? s1.toString() : s2.toString();
}
private StringBuilder maxS(String s, int i, int j) {
StringBuilder maxString = new StringBuilder();
while (i >= 0 && j < s.length() && s.charAt(i) == s.charAt(j)) {
StringBuilder sub = new StringBuilder(s.substring(i, j + 1));
if (sub.length() > maxString.length()) {
maxString = sub;
}
i--;
j++;
}
return maxString;
}
}
时间复杂度:O(n^2)
空间复杂度:O(n)
方法3:这个方式是在方法2中进行的优化(通过了leetcode编译器)
package leetcode;
import org.junit.Test;
/**
* @author zhangyu
* @version V1.0
* @ClassName: LongestPalindromicSubstring
* @Description: TOTO
* @date 2018/12/6 20:18
**/
public class LongestPalindromicSubstring3 {
@Test
public void fun() {
String s = "babad";
String subString = longestPalindromicSubstring(s);
System.out.println(subString);
}
private static String longestPalindromicSubstring(String s) {
// 当字符串的长度小于或者等于1时候直接返回
if(s.length()<=1){
return s;
}
String s1 = "";
String s2 = "";
for (int i = 0; i < s.length()-1; i++) {
s1 = s1.length() >= maxS(s, i, i).length() ? s1 : maxS(s, i, i);
s2 = s2.length() >= maxS(s, i, i + 1).length() ? s2 : maxS(s, i, i + 1);
}
return s1.length() >= s2.length() ? s1 : s2;
}
private static String maxS(String s, int i, int j) {
String maxString = "";
while (i >= 0 && j < s.length() && s.charAt(i) == s.charAt(j)) {
/* String sub = s.substring(i, j + 1);
if (sub.length() > maxString.length()) {
maxString = sub;
}*/
i--;
j++;
}
//System.out.println(i + "--" + j);
//System.out.println(s.substring(i, j));
//因为i和j都减一了,所以都要加1
return s.substring(i+1,j);
}
}
时间复杂度:O(n^2)
空间复杂度:O(n)