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548. Split Array with Equal Sum

548. Split Array with Equal Sum

作者: matrxyz | 来源:发表于2018-01-13 15:10 被阅读0次

    Given an array with n integers, you need to find if there are triplets (i, j, k) which satisfies following conditions:
    0 < i, i + 1 < j, j + 1 < k < n - 1
    Sum of subarrays (0, i - 1), (i + 1, j - 1), (j + 1, k - 1) and (k + 1, n - 1) should be equal.
    where we define that subarray (L, R) represents a slice of the original array starting from the element indexed L to the element indexed R.

    Example:
    Input: [1,2,1,2,1,2,1]
    Output: True
    Explanation:
    i = 1, j = 3, k = 5. 
    sum(0, i - 1) = sum(0, 0) = 1
    sum(i + 1, j - 1) = sum(2, 2) = 1
    sum(j + 1, k - 1) = sum(4, 4) = 1
    sum(k + 1, n - 1) = sum(6, 6) = 1
    

    Note:
    1 <= n <= 2000.
    Elements in the given array will be in range [-1,000,000, 1,000,000].

    Solution:preSum + HashMap

    思路:
    三个cuts位置: i, j, k
    a (i) b (j) c (k) d 四段
    先遍历j可能的位置, 循环中:
    再分别遍历i的位置,将sum(a) == sum(b)的可能存在set中,
    再遍历k的位置,判断是否有sum(c) == sum(d) 且a、b段也有。
    sum计算方式用preSum

    Time Complexity: O(N^2) Space Complexity: O(N)

    Solution Code:

    // a (i) b (j) c (k) d 四段
    public class Solution {
        public boolean splitArray(int[] nums) {
            if (nums.length < 7)
                return false;
            int[] sum = new int[nums.length];
            sum[0] = nums[0];
            for (int i = 1; i < nums.length; i++) {
                sum[i] = sum[i - 1] + nums[i];
            }
            
            // 遍历中点j
            for (int j = 3; j < nums.length - 3; j++) {
                HashSet<Integer> set = new HashSet<>();
                for (int i = 1; i < j - 1; i++) {
                    // a段 == b段
                    if (sum[i - 1] == sum[j - 1] - sum[i]) { 
                        set.add(sum[i - 1]);
                    }
                }
                for (int k = j + 2; k < nums.length - 1; k++) {
                    // c段 == d段, 且 ab段也都有
                    if (sum[nums.length - 1] - sum[k] == sum[k - 1] - sum[j] && set.contains(sum[k - 1] - sum[j])) {
                        return true;
                    }
                }
            }
            return false;
        }
    }
    

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