CodeForces - 1108F MST Unification

博客介绍了如何在不改变最小生成树(MST)成本的情况下,通过增加边的权重使得MST唯一。文章提供了一个使用Kruskal算法的解决方案,对于边权相等的情况,优先选择未连接节点最多的边,冲突边则加1,复杂度为O(m log m)。同时提到Prim算法也可用于解决此问题。

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http://codeforces.com/contest/1108/problem/F

You are given an undirected weighted connected graph with nn vertices and mm edges without loops and multiple edges.

The ii -th edge is ei=(ui,vi,wi)ei=(ui,vi,wi) ; the distance between vertices uiui and vivi along the edge eiei is wiwi (1≤wi1≤wi ). The graph is connected, i. e. for any pair of vertices, there is at least one path between them consisting only of edges of the given graph.

A minimum spanning tree (MST) in case of positive weights is a subset of the edges of a connected weighted undirected graph that connects all the vertices together and has minimum total cost among all such subsets (total cost is the sum of costs of chosen edges).

You can modify the given graph. The only operation you can perform is the following: increase the weight of some edge by 11 . You can increase the weight of each edge multiple (possib

### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
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