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Formatted question description: https://leetcode.ca/all/2378.html
2378. Choose Edges to Maximize Score in a Tree
Description
You are given a weighted tree consisting of n
nodes numbered from 0
to n - 1
.
The tree is rooted at node 0
and represented with a 2D array edges
of size n
where edges[i] = [pari, weighti]
indicates that node pari
is the parent of node i
, and the edge between them has a weight equal to weighti
. Since the root does not have a parent, you have edges[0] = [-1, -1]
.
Choose some edges from the tree such that no two chosen edges are adjacent and the sum of the weights of the chosen edges is maximized.
Return the maximum sum of the chosen edges.
Note:
- You are allowed to not choose any edges in the tree, the sum of weights in this case will be
0
. - Two edges
Edge1
andEdge2
in the tree are adjacent if they have a common node.- In other words, they are adjacent if
Edge1
connects nodesa
andb
andEdge2
connects nodesb
andc
.
- In other words, they are adjacent if
Example 1:
Input: edges = [[-1,-1],[0,5],[0,10],[2,6],[2,4]] Output: 11 Explanation: The above diagram shows the edges that we have to choose colored in red. The total score is 5 + 6 = 11. It can be shown that no better score can be obtained.
Example 2:
Input: edges = [[-1,-1],[0,5],[0,-6],[0,7]] Output: 7 Explanation: We choose the edge with weight 7. Note that we cannot choose more than one edge because all edges are adjacent to each other.
Constraints:
n == edges.length
1 <= n <= 105
edges[i].length == 2
par0 == weight0 == -1
0 <= pari <= n - 1
for alli >= 1
.pari != i
-106 <= weighti <= 106
for alli >= 1
.edges
represents a valid tree.
Solutions
-
class Solution { private List<int[]>[] g; public long maxScore(int[][] edges) { int n = edges.length; g = new List[n]; Arrays.setAll(g, k -> new ArrayList<>()); for (int i = 1; i < n; ++i) { int p = edges[i][0], w = edges[i][1]; g[p].add(new int[] {i, w}); } return dfs(0)[1]; } private long[] dfs(int i) { long a = 0, b = 0, t = 0; for (int[] nxt : g[i]) { int j = nxt[0], w = nxt[1]; long[] s = dfs(j); a += s[1]; b += s[1]; t = Math.max(t, s[0] - s[1] + w); } b += t; return new long[] {a, b}; } }
-
class Solution { public: long long maxScore(vector<vector<int>>& edges) { int n = edges.size(); vector<vector<pair<int, int>>> g(n); for (int i = 1; i < n; ++i) { int p = edges[i][0], w = edges[i][1]; g[p].emplace_back(i, w); } using ll = long long; using pll = pair<ll, ll>; function<pll(int)> dfs = [&](int i) -> pll { ll a = 0, b = 0, t = 0; for (auto& [j, w] : g[i]) { auto [x, y] = dfs(j); a += y; b += y; t = max(t, x - y + w); } b += t; return make_pair(a, b); }; return dfs(0).second; } };
-
class Solution: def maxScore(self, edges: List[List[int]]) -> int: def dfs(i): a = b = t = 0 for j, w in g[i]: x, y = dfs(j) a += y b += y t = max(t, x - y + w) b += t return a, b g = defaultdict(list) for i, (p, w) in enumerate(edges[1:], 1): g[p].append((i, w)) return dfs(0)[1]
-
func maxScore(edges [][]int) int64 { n := len(edges) g := make([][][2]int, n) for i := 1; i < n; i++ { p, w := edges[i][0], edges[i][1] g[p] = append(g[p], [2]int{i, w}) } var dfs func(int) [2]int dfs = func(i int) [2]int { var a, b, t int for _, e := range g[i] { j, w := e[0], e[1] s := dfs(j) a += s[1] b += s[1] t = max(t, s[0]-s[1]+w) } b += t return [2]int{a, b} } return int64(dfs(0)[1]) } func max(a, b int) int { if a > b { return a } return b }