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package g1901_2000.s1911_maximum_alternating_subsequence_sum;

// #Medium #Array #Dynamic_Programming #2022_05_14_Time_12_ms_(51.75%)_Space_97.4_MB_(59.03%)

/**
 * 1911 - Maximum Alternating Subsequence Sum\.
 *
 * Medium
 *
 * The **alternating sum** of a **0-indexed** array is defined as the **sum** of the elements at **even** indices **minus** the **sum** of the elements at **odd** indices.
 *
 * *   For example, the alternating sum of `[4,2,5,3]` is `(4 + 5) - (2 + 3) = 4`.
 *
 * Given an array `nums`, return _the **maximum alternating sum** of any subsequence of_ `nums` _(after **reindexing** the elements of the subsequence)_.
 *
 * A **subsequence** of an array is a new array generated from the original array by deleting some elements (possibly none) without changing the remaining elements' relative order. For example, `[2,7,4]` is a subsequence of `[4,2,3,7,2,1,4]` (the underlined elements), while `[2,4,2]` is not.
 *
 * **Example 1:**
 *
 * **Input:** nums = [4,2,5,3]
 *
 * **Output:** 7
 *
 * **Explanation:** It is optimal to choose the subsequence [4,2,5] with alternating sum (4 + 5) - 2 = 7. 
 *
 * **Example 2:**
 *
 * **Input:** nums = [5,6,7,8]
 *
 * **Output:** 8
 *
 * **Explanation:** It is optimal to choose the subsequence [8] with alternating sum 8. 
 *
 * **Example 3:**
 *
 * **Input:** nums = [6,2,1,2,4,5]
 *
 * **Output:** 10
 *
 * **Explanation:** It is optimal to choose the subsequence [6,1,5] with alternating sum (6 + 5) - 1 = 10. 
 *
 * **Constraints:**
 *
 * *   1 <= nums.length <= 105
 * *   1 <= nums[i] <= 105
**/
public class Solution {
    public long maxAlternatingSum(int[] nums) {
        int n = nums.length;
        long even = nums[0];
        long odd = 0;
        for (int i = 1; i < n; i++) {
            even = Math.max(even, Math.max(odd + nums[i], nums[i]));
            odd = Math.max(odd, Math.max(even - nums[i], 0));
        }
        return Math.max(even, odd);
    }
}




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