My LeetCode Diary - Day52 Dynamic Programming

300. Longest Increasing Subsequence

Link

class Solution {
    public int lengthOfLIS(int[] nums) {
        int[] dp = new int[nums.length];
        Arrays.fill(dp, 1);
        for (int i = 0; i < dp.length; i++) {
            for (int j = 0; j < i; j++) {
                if (nums[i] > nums[j]) {
                    dp[i] = Math.max(dp[i], dp[j] + 1);
                }
            }
        }
        int res = 0;
        for (int i = 0; i < dp.length; i++) {
            res = Math.max(res, dp[i]);
        }
        return res;
    }
}

674. Longest Continuous Increasing Subsequence

Link

class Solution {
    public static int findLengthOfLCIS(int[] nums) {
        int[] dp = new int[nums.length];
        for (int i = 0; i < dp.length; i++) {
            dp[i] = 1;
        }
        int res = 1;
        for (int i = 0; i < nums.length - 1; i++) {
            if (nums[i + 1] > nums[i]) {
                dp[i + 1] = dp[i] + 1;
            }
            res = res > dp[i + 1] ? res : dp[i + 1];
        }
        return res;
    }
}

718. Maximum Length of Repeated Subarray

Link

class Solution {
    public int findLength(int[] nums1, int[] nums2) {
        int result = 0;
        int[][] dp = new int[nums1.length + 1][nums2.length + 1];
        
        for (int i = 1; i < nums1.length + 1; i++) {
            for (int j = 1; j < nums2.length + 1; j++) {
                if (nums1[i - 1] == nums2[j - 1]) {
                    dp[i][j] = dp[i - 1][j - 1] + 1;
                    result = Math.max(result, dp[i][j]);
                }
            }
        }
        
        return result;
    }
}