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You are given an undirected weighted tree with n nodes, numbered from 0 to n - 1. It is represented by a 2D integer array edges of length n - 1, where edges[i] = [ui, vi, wi] indicates that there is an edge between nodes ui and vi with weight wi. Additionally, you are given a 2D integer array queries, where queries[j] = [src1j, src2j, destj]. Return an array answer of length equal to queries.length, where answer[j] is the minimum total weight of a subtree such that it is possible to reach destj from both src1j and src2j using edges in this subtree. A subtree here is any connected subset of nodes and edges of the original tree forming a valid tree.
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You are given an undirected weighted tree with n nodes, numbered from 0 to n - 1. It is represented by a 2D integer array edges of length n - 1, where edges[i] = [ui, vi, wi] indicates that there is an edge between nodes ui and vi with weight wi. Additionally, you are given a 2D integer array queries, where queries[j] = [src1j, src2j, destj]. Return an array answer of length equal to queries.length, where answer[j] is the minimum total weight of a subtree such that it is possible to reach destj from both src1j and src2j using edges in this subtree. A subtree here is any connected subset of nodes and edges of the original tree forming a valid tree.
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edges = [[0,1,2],[1,2,3],[1,3,5],[1,4,4],[2,5,6]], queries = [[2,3,4],[0,2,5]]
[12,11]
edges = [[1,0,8],[0,2,7]], queries = [[0,1,2]]
[15]
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Solve Minimum Weighted Subgraph With the Required Paths II — You are given an undirected weighted tree with n nodes, numbered from 0 to n - 1...
Here's the optimal approach using Array:
Time: O(n) | Space: O(n)
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