{ "data": { "question": { "questionId": "3633", "questionFrontendId": "3372", "categoryTitle": "Algorithms", "boundTopicId": 3004240, "title": "Maximize the Number of Target Nodes After Connecting Trees I", "titleSlug": "maximize-the-number-of-target-nodes-after-connecting-trees-i", "content": "
There exist two undirected trees with n
and m
nodes, with distinct labels in ranges [0, n - 1]
and [0, m - 1]
, respectively.
You are given two 2D integer arrays edges1
and edges2
of lengths n - 1
and m - 1
, respectively, where edges1[i] = [ai, bi]
indicates that there is an edge between nodes ai
and bi
in the first tree and edges2[i] = [ui, vi]
indicates that there is an edge between nodes ui
and vi
in the second tree. You are also given an integer k
.
Node u
is target to node v
if the number of edges on the path from u
to v
is less than or equal to k
. Note that a node is always target to itself.
Return an array of n
integers answer
, where answer[i]
is the maximum possible number of nodes target to node i
of the first tree if you have to connect one node from the first tree to another node in the second tree.
Note that queries are independent from each other. That is, for every query you will remove the added edge before proceeding to the next query.
\n\n\n
Example 1:
\n\nInput: edges1 = [[0,1],[0,2],[2,3],[2,4]], edges2 = [[0,1],[0,2],[0,3],[2,7],[1,4],[4,5],[4,6]], k = 2
\n\nOutput: [9,7,9,8,8]
\n\nExplanation:
\n\ni = 0
, connect node 0 from the first tree to node 0 from the second tree.i = 1
, connect node 1 from the first tree to node 0 from the second tree.i = 2
, connect node 2 from the first tree to node 4 from the second tree.i = 3
, connect node 3 from the first tree to node 4 from the second tree.i = 4
, connect node 4 from the first tree to node 4 from the second tree.Example 2:
\n\nInput: edges1 = [[0,1],[0,2],[0,3],[0,4]], edges2 = [[0,1],[1,2],[2,3]], k = 1
\n\nOutput: [6,3,3,3,3]
\n\nExplanation:
\n\nFor every i
, connect node i
of the first tree with any node of the second tree.
\n
Constraints:
\n\n2 <= n, m <= 1000
edges1.length == n - 1
edges2.length == m - 1
edges1[i].length == edges2[i].length == 2
edges1[i] = [ai, bi]
0 <= ai, bi < n
edges2[i] = [ui, vi]
0 <= ui, vi < m
edges1
and edges2
represent valid trees.0 <= k <= 1000
有两棵 无向 树,分别有 n
和 m
个树节点。两棵树中的节点编号分别为[0, n - 1]
和 [0, m - 1]
中的整数。
给你两个二维整数 edges1
和 edges2
,长度分别为 n - 1
和 m - 1
,其中 edges1[i] = [ai, bi]
表示第一棵树中节点 ai
和 bi
之间有一条边,edges2[i] = [ui, vi]
表示第二棵树中节点 ui
和 vi
之间有一条边。同时给你一个整数 k
。
如果节点 u
和节点 v
之间路径的边数小于等于 k
,那么我们称节点 u
是节点 v
的 目标节点 。注意 ,一个节点一定是它自己的 目标节点 。
请你返回一个长度为 n
的整数数组 answer
,answer[i]
表示将第一棵树中的一个节点与第二棵树中的一个节点连接一条边后,第一棵树中节点 i
的 目标节点 数目的 最大值 。
注意 ,每个查询相互独立。意味着进行下一次查询之前,你需要先把刚添加的边给删掉。
\n\n\n\n
示例 1:
\n\n输入:edges1 = [[0,1],[0,2],[2,3],[2,4]], edges2 = [[0,1],[0,2],[0,3],[2,7],[1,4],[4,5],[4,6]], k = 2
\n\n输出:[9,7,9,8,8]
\n\n解释:
\n\ni = 0
,连接第一棵树中的节点 0 和第二棵树中的节点 0 。i = 1
,连接第一棵树中的节点 1 和第二棵树中的节点 0 。i = 2
,连接第一棵树中的节点 2 和第二棵树中的节点 4 。i = 3
,连接第一棵树中的节点 3 和第二棵树中的节点 4 。i = 4
,连接第一棵树中的节点 4 和第二棵树中的节点 4 。示例 2:
\n\n输入:edges1 = [[0,1],[0,2],[0,3],[0,4]], edges2 = [[0,1],[1,2],[2,3]], k = 1
\n\n输出:[6,3,3,3,3]
\n\n解释:
\n\n对于每个 i
,连接第一棵树中的节点 i
和第二棵树中的任意一个节点。
\n\n
提示:
\n\n2 <= n, m <= 1000
edges1.length == n - 1
edges2.length == m - 1
edges1[i].length == edges2[i].length == 2
edges1[i] = [ai, bi]
0 <= ai, bi < n
edges2[i] = [ui, vi]
0 <= ui, vi < m
edges1
和 edges2
都表示合法的树。0 <= k <= 1000
u
in the first tree, find the number of nodes at a distance of at most k
from node u
.",
"For each node v
in the second tree, find the number of nodes at a distance of at most k - 1
from node v
."
],
"solution": null,
"status": null,
"sampleTestCase": "[[0,1],[0,2],[2,3],[2,4]]\n[[0,1],[0,2],[0,3],[2,7],[1,4],[4,5],[4,6]]\n2",
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