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dp-8's Introduction

DP-8

//Time Complexity = O(N) //Space complexity = O(N) class Solution { public int numberOfArithmeticSlices(int[] nums) { if(nums == null || nums.length < 3) return 0; int[] dp = new int[nums.length]; int sum = 0; int n = nums.length; for(int i = 2; i < n; i++){ if(nums[i] - nums[i-1] == nums[i-1] - nums[i-2]){ dp[i] = dp[i-1] + 1; sum = sum + dp[i]; } } return sum; } }

//Time Complexity = O(N) //Space Complexity = O(triangle.size()) class Solution { public int minimumTotal(List<List> triangle) { if(triangle.size() == 0) return 0; int n = triangle.size(); int[] dp = new int[n];

    for(int j = 0; j < dp.length; j++){
        dp[j] = triangle.get(n-1).get(j); 
    }
    
    for(int i = n - 2; i >= 0; i--){
        for(int j = 0; j <= i; j++){
            dp[j] = triangle.get(i).get(j) + Math.min(dp[j], dp[j+1]); 
        }
    }
    
    return dp[0];
}

}

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