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368. Largest Divisible Subset

368. Largest Divisible Subset

作者: 番茄晓蛋 | 来源:发表于2016-12-30 11:46 被阅读16次

    Given a set of distinct positive integers, find the largest subset such that every pair (Si, Sj) of elements in this subset satisfies:
    Si % Sj = 0 or Sj % Si = 0.
    If there are multiple solutions, return any subset is fine.
    Example 1:
    nums: [1,2,3]Result: [1,2] (of course, [1,3] will also be ok)

    Example 2:
    nums: [1,2,4,8]Result: [1,2,4,8]

    Credits:Special thanks to @Stomach_ache for adding this problem and creating all test cases.

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    Dynamic Programming Math

        /*
        1. Sort
        2. FInd the length of longest subset
        3. Record the largest element of it.
        4. DO a loop from the largest element to num[0], add every element belong to the logest subset.
        */
        public List<Integer> largestDivisibleSubset(int[] nums) {
            List<Integer> res = new ArrayList<Integer>();
            if (nums == null || nums.length == 0) return res;
            Arrays.sort(nums);
            
            int[] dp = new int[nums.length];
            dp[0] = 1;
            
            // for each element in nums; find the length of largest subset it has.
            for (int i = 1; i < nums.length; i++) {
                for (int j = i - 1; j >= 0; j--) {
                    if (nums[i] % nums[j] == 0) {
                        dp[i] = Math.max(dp[i], dp[j] + 1);
                    }
                }
            }
            
            // pick the index of the largest element in dp.
            int maxIndex = 0;
            for (int i = 1; i < nums.length; i++) {
                maxIndex = dp[i] > dp[maxIndex] ? i : maxIndex;
            }
            
            // from nums[maxIndex] to 0, add every element belongs to the largest subset
            int temp = nums[maxIndex];
            int curDp = dp[maxIndex];
            
            for (int i = maxIndex; i >= 0; i--) {
                if (temp % nums[i] == 0 && dp[i] == curDp) {
                    res.add(nums[i]);
                    temp = nums[i];
                    curDp--;
                }
            }
            return res;
        }
    
    

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