{ "data": { "question": { "questionId": "3909", "questionFrontendId": "3593", "categoryTitle": "Algorithms", "boundTopicId": 3705000, "title": "Minimum Increments to Equalize Leaf Paths", "titleSlug": "minimum-increments-to-equalize-leaf-paths", "content": "
You are given an integer n
and an undirected tree rooted at node 0 with n
nodes numbered from 0 to n - 1
. This is represented by a 2D array edges
of length n - 1
, where edges[i] = [ui, vi]
indicates an edge from node ui
to vi
.
Each node i
has an associated cost given by cost[i]
, representing the cost to traverse that node.
The score of a path is defined as the sum of the costs of all nodes along the path.
\n\nYour goal is to make the scores of all root-to-leaf paths equal by increasing the cost of any number of nodes by any non-negative amount.
\n\nReturn the minimum number of nodes whose cost must be increased to make all root-to-leaf path scores equal.
\n\n\n
Example 1:
\n\nInput: n = 3, edges = [[0,1],[0,2]], cost = [2,1,3]
\n\nOutput: 1
\n\nExplanation:
\n\nThere are two root-to-leaf paths:
\n\n0 → 1
has a score of 2 + 1 = 3
.0 → 2
has a score of 2 + 3 = 5
.To make all root-to-leaf path scores equal to 5, increase the cost of node 1 by 2.
\nOnly one node is increased, so the output is 1.
Example 2:
\n\nInput: n = 3, edges = [[0,1],[1,2]], cost = [5,1,4]
\n\nOutput: 0
\n\nExplanation:
\n\nThere is only one root-to-leaf path:
\n\nPath 0 → 1 → 2
has a score of 5 + 1 + 4 = 10
.
Since only one root-to-leaf path exists, all path costs are trivially equal, and the output is 0.
\nExample 3:
\n\nInput: n = 5, edges = [[0,4],[0,1],[1,2],[1,3]], cost = [3,4,1,1,7]
\n\nOutput: 1
\n\nExplanation:
\n\nThere are three root-to-leaf paths:
\n\n0 → 4
has a score of 3 + 7 = 10
.0 → 1 → 2
has a score of 3 + 4 + 1 = 8
.0 → 1 → 3
has a score of 3 + 4 + 1 = 8
.To make all root-to-leaf path scores equal to 10, increase the cost of node 1 by 2. Thus, the output is 1.
\n\n
Constraints:
\n\n2 <= n <= 105
edges.length == n - 1
edges[i] == [ui, vi]
0 <= ui, vi < n
cost.length == n
1 <= cost[i] <= 109
edges
represents a valid tree.给你一个整数 n
,以及一个无向树,该树以节点 0 为根节点,包含 n
个节点,节点编号从 0 到 n - 1
。这棵树由一个长度为 n - 1
的二维数组 edges
表示,其中 edges[i] = [ui, vi]
表示节点 ui
和节点 vi
之间存在一条边。
每个节点 i
都有一个关联的成本 cost[i]
,表示经过该节点的成本。
路径得分 定义为路径上所有节点成本的总和。
\n\n你的目标是通过给任意数量的节点 增加 成本(可以增加任意非负值),使得所有从根节点到叶子节点的路径得分 相等 。
\n\n返回需要增加成本的节点数的 最小值 。
\n\n\n\n
示例 1:
\n\n输入: n = 3, edges = [[0,1],[0,2]], cost = [2,1,3]
\n\n输出: 1
\n\n解释:
\n\n树中有两条从根到叶子的路径:
\n\n0 → 1
的得分为 2 + 1 = 3
。0 → 2
的得分为 2 + 3 = 5
。为了使所有路径的得分都等于 5,可以将节点 1 的成本增加 2。
\n仅需增加一个节点的成本,因此输出为 1。
示例 2:
\n\n输入: n = 3, edges = [[0,1],[1,2]], cost = [5,1,4]
\n\n输出: 0
\n\n解释:
\n\n树中只有一条从根到叶子的路径:
\n\n0 → 1 → 2
的得分为 5 + 1 + 4 = 10
。由于只有一条路径,所有路径的得分天然相等,因此输出为 0。
\n示例 3:
\n\n输入: n = 5, edges = [[0,4],[0,1],[1,2],[1,3]], cost = [3,4,1,1,7]
\n\n输出: 1
\n\n解释:
\n\n树中有三条从根到叶子的路径:
\n\n0 → 4
的得分为 3 + 7 = 10
。0 → 1 → 2
的得分为 3 + 4 + 1 = 8
。0 → 1 → 3
的得分为 3 + 4 + 1 = 8
。为了使所有路径的得分都等于 10,可以将节点 1 的成本增加 2。 因此输出为 1。
\n\n\n
提示:
\n\n2 <= n <= 105
edges.length == n - 1
edges[i] == [ui, vi]
0 <= ui, vi < n
cost.length == n
1 <= cost[i] <= 109
edges
表示一棵合法的树。maxLeafCost
, the maximum sum among all root-to-leaf paths.",
"For each node
, compute minIncrease[node]
, the minimum additional cost required so that every root-to-leaf path passing through that node
reaches maxLeafCost
.",
"The final answer, ans
, is the count of nodes
for which minIncrease[node]
differs from minIncrease[parent]
."
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