5. 最长回文子串
java
public String longestPalindrome(String s) {
String res = "";
boolean[][] dp = new boolean[s.length()][s.length()];
for (int i = s.length() - 1; i >= 0; i--) {
for (int j = i; j < s.length(); j++) {
if (s.charAt(i) != s.charAt(j)) continue;
if ((i == j || i + 1 == j || dp[i + 1][j - 1])) {
// 单个或两个字符,或者是内部回文
dp[i][j] = true;
if (j - i + 1 > res.length()) {
res = s.substring(i, j + 1);
}
}
}
}
return res;
}
300. 最长递增子序列
- DP状态:dp[i]表示以i为最长递增序列右边界
java
public int lengthOfLIS(int[] nums) {
int res = 0;
int[] dp = new int[nums.length];
for (int i = 0; i < nums.length; i++) {
for (int j = 0; j <= i; j++) {
if (i == j) {
dp[i] = Math.max(dp[i], 1);
} else if (nums[j] < nums[i]) {
dp[i] = Math.max(dp[i], dp[j] + 1);
}
}
res = Math.max(res, dp[i]);
}
return res;
}
516. 最长回文子序列
java
public int longestPalindromeSubseq(String s) {
int[][] dp = new int[s.length()][s.length()];
// 由递推公式,反推遍历方向
for (int i = s.length() - 1; i >= 0; i--) {
for (int j = i; j < s.length(); j++) {
if (i == j) {
dp[i][j] = 1;
} else if (s.charAt(i) == s.charAt(j)) {
dp[i][j] = dp[i + 1][j - 1] + 2;
} else {
dp[i][j] = Math.max(dp[i + 1][j], dp[i][j - 1]);
}
}
}
return dp[0][s.length() - 1];
}
674. 最长连续递增序列
java
public int findLengthOfLCIS(int[] nums) {
// last表示以i-1为连续递增序列右边界的最优解
int last = 1, res = 1;
for (int i = 1; i < nums.length; i++) {
if (nums[i] > nums[i - 1]) {
last++;
} else {
last = 1;
}
res = Math.max(res, last);
}
return res;
}
718. 最长重复子数组
java
public int findLength(int[] nums1, int[] nums2) {
int[][] dp = new int[nums1.length + 1][nums2.length + 1];
int res = 0;
for (int i = 0; i < nums1.length; i++) {
for (int j = 0; j < nums2.length; j++) {
// 因为要求连续,仅相等才赋值
if (nums1[i] == nums2[j]) {
dp[i + 1][j + 1] = dp[i][j] + 1;
res = Math.max(res, dp[i + 1][j + 1]);
}
}
}
return res;
}
1143. 最长公共子序列
java
public int longestCommonSubsequence(String text1, String text2) {
int[][] dp = new int[text1.length() + 1][text2.length() + 1];
for (int i = 0; i < text1.length(); i++) {
for (int j = 0; j < text2.length(); j++) {
if (text1.charAt(i) == text2.charAt(j)) {
dp[i + 1][j + 1] = dp[i][j] + 1;
} else {
dp[i + 1][j + 1] = Math.max(dp[i][j + 1], dp[i + 1][j]);
}
}
}
return dp[text1.length()][text2.length()];
}