{ "data": { "question": { "questionId": "2894", "questionFrontendId": "2813", "categoryTitle": "Algorithms", "boundTopicId": 2373156, "title": "Maximum Elegance of a K-Length Subsequence", "titleSlug": "maximum-elegance-of-a-k-length-subsequence", "content": "

You are given a 0-indexed 2D integer array items of length n and an integer k.

\n\n

items[i] = [profiti, categoryi], where profiti and categoryi denote the profit and category of the ith item respectively.

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Let's define the elegance of a subsequence of items as total_profit + distinct_categories2, where total_profit is the sum of all profits in the subsequence, and distinct_categories is the number of distinct categories from all the categories in the selected subsequence.

\n\n

Your task is to find the maximum elegance from all subsequences of size k in items.

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Return an integer denoting the maximum elegance of a subsequence of items with size exactly k.

\n\n

Note: 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.

\n\n

 

\n

Example 1:

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\nInput: items = [[3,2],[5,1],[10,1]], k = 2\nOutput: 17\nExplanation: In this example, we have to select a subsequence of size 2.\nWe can select items[0] = [3,2] and items[2] = [10,1].\nThe total profit in this subsequence is 3 + 10 = 13, and the subsequence contains 2 distinct categories [2,1].\nHence, the elegance is 13 + 22 = 17, and we can show that it is the maximum achievable elegance. \n
\n\n

Example 2:

\n\n
\nInput: items = [[3,1],[3,1],[2,2],[5,3]], k = 3\nOutput: 19\nExplanation: In this example, we have to select a subsequence of size 3. \nWe can select items[0] = [3,1], items[2] = [2,2], and items[3] = [5,3]. \nThe total profit in this subsequence is 3 + 2 + 5 = 10, and the subsequence contains 3 distinct categories [1,2,3]. \nHence, the elegance is 10 + 32 = 19, and we can show that it is the maximum achievable elegance.
\n\n

Example 3:

\n\n
\nInput: items = [[1,1],[2,1],[3,1]], k = 3\nOutput: 7\nExplanation: In this example, we have to select a subsequence of size 3. \nWe should select all the items. \nThe total profit will be 1 + 2 + 3 = 6, and the subsequence contains 1 distinct category [1]. \nHence, the maximum elegance is 6 + 12 = 7.  
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "子序列最大优雅度", "translatedContent": "

给你一个长度为 n 的二维整数数组 items 和一个整数 k

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items[i] = [profiti, categoryi],其中 profiticategoryi 分别表示第 i 个项目的利润和类别。

\n\n

现定义 items子序列优雅度 可以用 total_profit + distinct_categories2 计算,其中 total_profit 是子序列中所有项目的利润总和,distinct_categories 是所选子序列所含的所有类别中不同类别的数量。

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你的任务是从 items 所有长度为 k 的子序列中,找出 最大优雅度

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用整数形式表示并返回 items 中所有长度恰好为 k 的子序列的最大优雅度。

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注意:数组的子序列是经由原数组删除一些元素(可能不删除)而产生的新数组,且删除不改变其余元素相对顺序。

\n\n

 

\n\n

示例 1:

\n\n
\n输入:items = [[3,2],[5,1],[10,1]], k = 2\n输出:17\n解释:\n在这个例子中,我们需要选出长度为 2 的子序列。\n其中一种方案是 items[0] = [3,2] 和 items[2] = [10,1] 。\n子序列的总利润为 3 + 10 = 13 ,子序列包含 2 种不同类别 [2,1] 。\n因此,优雅度为 13 + 22 = 17 ,可以证明 17 是可以获得的最大优雅度。 \n
\n\n

示例 2:

\n\n
\n输入:items = [[3,1],[3,1],[2,2],[5,3]], k = 3\n输出:19\n解释:\n在这个例子中,我们需要选出长度为 3 的子序列。 \n其中一种方案是 items[0] = [3,1] ,items[2] = [2,2] 和 items[3] = [5,3] 。\n子序列的总利润为 3 + 2 + 5 = 10 ,子序列包含 3 种不同类别 [1, 2, 3] 。 \n因此,优雅度为 10 + 32 = 19 ,可以证明 19 是可以获得的最大优雅度。
\n\n

示例 3:

\n\n
\n输入:items = [[1,1],[2,1],[3,1]], k = 3\n输出:7\n解释:\n在这个例子中,我们需要选出长度为 3 的子序列。\n我们需要选中所有项目。\n子序列的总利润为 1 + 2 + 3 = 6,子序列包含 1 种不同类别 [1] 。\n因此,最大优雅度为 6 + 12 = 7 。
\n\n

 

\n\n

提示:

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Sort items in non-increasing order of profits.
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Select the first k items (the top k most profitable items). Keep track of the items as the candidate set.
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