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@ -633,20 +633,20 @@ public int wiggleMaxLength(int[] nums) {
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[Leetcode](https://leetcode.com/problems/longest-common-subsequence/) / [力扣](https://leetcode-cn.com/problems/longest-common-subsequence/)
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[Leetcode](https://leetcode.com/problems/longest-common-subsequence/) / [力扣](https://leetcode-cn.com/problems/longest-common-subsequence/)
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```java
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```java
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public int lengthOfLCS(int[] nums1, int[] nums2) {
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public int longestCommonSubsequence(String text1, String text2) {
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int n1 = nums1.length, n2 = nums2.length;
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int n1 = text1.length(), n2 = text2.length();
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int[][] dp = new int[n1 + 1][n2 + 1];
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int[][] dp = new int[n1 + 1][n2 + 1];
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for (int i = 1; i <= n1; i++) {
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for (int i = 1; i <= n1; i++) {
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for (int j = 1; j <= n2; j++) {
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for (int j = 1; j <= n2; j++) {
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if (nums1[i - 1] == nums2[j - 1]) {
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if (text1.charAt(i - 1) == text2.charAt(j - 1)) {
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dp[i][j] = dp[i - 1][j - 1] + 1;
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dp[i][j] = dp[i - 1][j - 1] + 1;
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} else {
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} else {
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dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
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dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
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}
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}
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}
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}
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}
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return dp[n1][n2];
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}
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}
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return dp[n1][n2];
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}
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```
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```
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# 0-1 背包
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# 0-1 背包
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@ -633,20 +633,20 @@ public int wiggleMaxLength(int[] nums) {
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[Leetcode](https://leetcode.com/problems/longest-common-subsequence/) / [力扣](https://leetcode-cn.com/problems/longest-common-subsequence/)
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[Leetcode](https://leetcode.com/problems/longest-common-subsequence/) / [力扣](https://leetcode-cn.com/problems/longest-common-subsequence/)
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```java
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```java
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public int lengthOfLCS(int[] nums1, int[] nums2) {
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public int longestCommonSubsequence(String text1, String text2) {
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int n1 = nums1.length, n2 = nums2.length;
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int n1 = text1.length(), n2 = text2.length();
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int[][] dp = new int[n1 + 1][n2 + 1];
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int[][] dp = new int[n1 + 1][n2 + 1];
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for (int i = 1; i <= n1; i++) {
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for (int i = 1; i <= n1; i++) {
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for (int j = 1; j <= n2; j++) {
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for (int j = 1; j <= n2; j++) {
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if (nums1[i - 1] == nums2[j - 1]) {
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if (text1.charAt(i - 1) == text2.charAt(j - 1)) {
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dp[i][j] = dp[i - 1][j - 1] + 1;
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dp[i][j] = dp[i - 1][j - 1] + 1;
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} else {
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} else {
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dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
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dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
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}
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}
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}
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}
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}
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return dp[n1][n2];
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}
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}
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return dp[n1][n2];
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}
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```
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```
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# 0-1 背包
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# 0-1 背包
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