LeetCode 1911, Medium. Topics: Array, Dynamic Programming. View on LeetCode.
Generate this problem as a practice environment: tested reference solution, 44 parametrized pytest cases, and a playground notebook:
Problem
The <strong>alternating sum</strong> of a <strong>0-indexed</strong> array is defined as the <strong>sum</strong> of the elements at <strong>even</strong> indices <strong>minus</strong> the <strong>sum</strong> of the elements at <strong>odd</strong> indices.
<ul>
<li>For example, the alternating sum of <code>[4,2,5,3]</code> is <code>(4 + 5) - (2 + 3) = 4</code>.</li>
</ul>
Given an array <code>nums</code>, return <em>the <strong>maximum alternating sum</strong> of any subsequence of </em><code>nums</code><em> (after <strong>reindexing</strong> the elements of the subsequence)</em>.
<p>A <strong>subsequence</strong> 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, <code>[2,7,4]</code> is a subsequence of <code>[4,2,<u>3</u>,7,2,1,<u>4</u>]</code> (the underlined elements), while <code>[2,4,2]</code> is not.</p>
Examples
Constraints
- 1 <= nums.length <= 10^5
- 1 <= nums[i] <= 10^5
Solution
Reference implementation from solution.py on GitHub, full suite in test_solution.py:
Complexity
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