{ "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
.
items[i] = [profiti, categoryi]
, where profiti
and categoryi
denote the profit and category of the ith
item respectively.
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.
Your task is to find the maximum elegance from all subsequences of size k
in items
.
Return an integer denoting the maximum elegance of a subsequence of items
with size exactly k
.
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:
\n\n\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\n1 <= items.length == n <= 105
items[i].length == 2
items[i][0] == profiti
items[i][1] == categoryi
1 <= profiti <= 109
1 <= categoryi <= n
1 <= k <= n
给你一个长度为 n
的二维整数数组 items
和一个整数 k
。
items[i] = [profiti, categoryi]
,其中 profiti
和 categoryi
分别表示第 i
个项目的利润和类别。
现定义 items
的 子序列 的 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。
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 。
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。
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:
\n\n1 <= items.length == n <= 105
items[i].length == 2
items[i][0] == profiti
items[i][1] == categoryi
1 <= profiti <= 109
1 <= categoryi <= n
1 <= k <= n
k
items (the top k
most profitable items). Keep track of the items as the candidate set.n - k
items sorted in non-increasing order of profits, try replacing an item in the candidate set using the current item.\\u7248\\u672c\\uff1a \\u7f16\\u8bd1\\u65f6\\uff0c\\u5c06\\u4f1a\\u91c7\\u7528 \\u4e3a\\u4e86\\u4f7f\\u7528\\u65b9\\u4fbf\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8\\u5bfc\\u5165\\u3002<\\/p>\"],\"java\":[\"Java\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u88ab\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u5305\\u542b Pair \\u7c7b: https:\\/\\/docs.oracle.com\\/javase\\/8\\/javafx\\/api\\/javafx\\/util\\/Pair.html <\\/p>\"],\"python\":[\"Python\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u5e38\\u7528\\u5e93\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8 \\u5bfc\\u5165\\uff0c\\u5982\\uff1aarray<\\/a>, bisect<\\/a>, 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