D. Arboris Contractio time limit per test2 seconds...

Erstellt am: 10. August 2025

Beantwortet mit GPT-5 Thinking von Chat01

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D. Arboris Contractio
time limit per test2 seconds
memory limit per test256 megabytes

Kagari is preparing to archive a tree, and she knows the cost of doing so will depend on its diameter^{\text{∗}}. To keep the expense down, her goal is to shrink the diameter as much as possible first. She can perform the following operation on the tree:

Choose two vertices s and t. Let the sequence of vertices on the simple path^{\text{†}} from s to t be v_0, v_1, \dots, v_k, where v_0 = s and v_k = t.
Remove all edges along the path. In other words, remove edges (v_0, v_1), (v_1, v_2), \dots, (v_{k-1}, v_k).
Connect vertices v_1, v_2, \dots, v_k directly to v_0. In other words, add edges (v_0, v_1), (v_0, v_2), \dots, (v_0, v_k).
It can be shown that the graph is still a tree after the operation.

Help her determine the minimum number of operations required to achieve the minimal diameter.

^{\text{∗}}The diameter of a tree is the longest possible distance between any pair of vertices. The distance itself is measured by the number of edges on the unique simple path connecting them.

^{\text{†}}A simple path is a path between two vertices in a tree that does not visit any vertex more than once. It can be shown that the simple path between any two vertices is always unique.

Input
Each test contains multiple test cases. The first line contains the number of test cases t (1 \le t \le 10^4). The description of the test cases follows.

The first line of each test case contains one integer n (2 \le n \le 2 \cdot 10^5) — the number of the vertices in the tree.

The following n-1 lines of each test case describe the tree. Each of the lines contains two integers u and v (1 \le u, v \le n, u \neq v) that indicate an edge between vertex u and v. It is guaranteed that these edges form a tree.

It is guaranteed that the sum of n over all test cases does not exceed 2 \cdot 10^5.

Output
For each test case, output one integer — the minimum number of operations to minimize the diameter.

Example
InputCopy
4
4
1 2
1 3
2 4
2
2 1
4
1 2
2 3
2 4
11
1 2
1 3
2 4
3 5
3 8
5 6
5 7
7 9
7 10
5 11
OutputCopy
1
0
0
4
Note
In the first test case, the diameter of the original tree is 3. Kagari can perform an operation on s = 3 and t = 4. As the figure depicts, the operations includes the following steps:

Remove edges (3, 1), (1, 2) and (2, 4).
Add edges (3, 1), (3, 2) and (3, 4).

After the operation, the diameter reduces to 2. It can be shown that 2 is the minimum diameter.

In the second test case, the diameter of the tree is 1. It can be shown that 1 is already the minimum, so Kagari can perform no operation.

give solution in cpp. there should be no comments in the code

Gedanke

Considering minimal operations for CF "D. Arboris Contractio"

I need to figure out the minimal number of operations needed to minimize the diameter using the "contract path to s" operation, which star-ifies a path. The goal is to reduce the diameter to its minimal amount, and I think the answer might involve something related to the logarithm of the diameter, though I'm not completely certain yet.

Reviewing Arboris Contractio operations

The "Arboris Contractio" operation shortens paths by connecting one endpoint to all nodes along the path, creating a star structure. This operation can potentially reduce the diameter, especially if it targets a diameter path. After applying the operation, the path becomes a star centered at one node, but subtrees remain unaffected.

Analyzing distances after operations

After the operation, the distance between nodes in subtrees attached to different path vertices becomes shorter. Distances along the path shrink, and vertices on the path become neighbors of the central node, similarly reducing the overall diameter. The result is a significant reduction in distances, helping minimize the diameter with each operation.

Exploring diameter reduction strategy

The idea is to reduce the tree's diameter by recursively applying the contraction operation along the diameter path. This could, hypothetically, reduce the diameter to something like ceiling(log2(d + 1)). But can we reduce it all the way to 1 or 2 through sufficient operations? Hmm, I’m not sure—connecting all nodes directly to a single center might not be achievable in this way.

Analyzing tree diameter and operations

To turn a tree into a star, we need to connect all the leaves to a central node. Each leaf requires an operation, but after a few operations, the diameter might reduce to 2, not always 1. For trees with 3 or more nodes, the minimum achievable diameter is 2. A star configuration leads to this diameter.

Simplifying tree to star

To convert a tree with diameter 2 into a star, the goal is to perform operations to connect each branch to a central node while keeping diameters ≤2. After each operation, a neighbor’s branch is compressed, but side subtrees might still have vertices ≥2 away. The minimal number of operations depends on ensuring each branch is compressed into one node without side branches increasing the diameter.

Minimal operations for starization

To achieve diameter 2 for the tree, every node except the center must be a direct neighbor. By selecting paths from the center to each leaf, nodes along those paths connect to the center. The minimal number of operations corresponds to the number of leaves, adjusted for the tree's structure. Changes in tree configuration need to be considered, especially for deeper branches.

Reevaluating minimal operations

To minimize operations, we aim for a node with maximum degree as the center. Each operation increases the center's adjacency to other nodes along the path. The minimal number of operations equals the number of leaves that need connections. This requires selecting paths that connect all vertices, ensuring a star configuration.

Minimizing operations for star transformation

To transform a tree into a star centered at node w, minimal operations equal the number of leaves not directly adjacent to w. Each operation connects a leaf’s path, covering all vertices along that path. Some leaves may already be neighbors of w, reducing necessary operations to only unconnected leaves.

Reevaluating minimal operations

To achieve a star centered at w, minimal operations equal the number of leaves not adjacent to w, taking into account that performing operations for adjacent leaves is unnecessary. Specifically, operations are needed for leaves in branches where distance is greater than 1 from w. In cases with n=2, no operations are needed, as the diameter is already 1.

Clarifying minimal operations

The aim is to minimize operations for turning a tree into a star. The number of operations is equal to the number of non-adjacent leaves to the selected center w. By computing the leaf neighbors and adjusting for whether w is leaf, we can efficiently determine the minimal operations. For a line of 4 nodes, the result is 1, which matches expectations.

Testing tree operations

The approach seems solid for computing the minimal number of operations to turn a tree into a star. I've analyzed various tree cases, like a chain with branches and a balanced binary tree, ensuring the algorithm works for multiple configurations. The general formula looks good for testing with large inputs. The sample results check out too!

Thought for 4m 20s

Antwort

cpp
#include <bits/stdc++.h> using namespace std; int main() { ios::sync_with_stdio(false); cin.tie(nullptr); int t; if(!(cin >> t)) return 0; while(t--) { int n; cin >> n; vector<vector<int>> g(n+1); vector<int> deg(n+1,0); for(int i=0;i<n-1;i++){ int u,v; cin >> u >> v; g[u].push_back(v); g[v].push_back(u); deg[u]++; deg[v]++; } int L = 0; for(int i=1;i<=n;i++) if(deg[i]==1) L++; vector<int> leafNei(n+1,0); for(int i=1;i<=n;i++){ int cnt = 0; for(int j: g[i]) if(deg[j]==1) cnt++; leafNei[i] = cnt; } int ans = n; for(int i=1;i<=n;i++){ int ops = L - leafNei[i] - (deg[i]==1 ? 1 : 0); ans = min(ans, ops); } cout << ans << '\n'; } return 0; }

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