minimum-height-trees
Intuition
The problem requires finding the minimum height trees in a graph. The intuition here is that for a tree to have minimum height, it should be centered around the middle of the graph. Trees with minimum height will have their roots as close to the center as possible.
Approach
Base Case Handling: If there's only one node in the graph, it's already the minimum height tree, so return a list containing that node.
Graph Representation: Create an adjacency list to represent the undirected graph. Also, keep track of the degree of each node, which represents the number of edges connected to it.
Initialization: Populate the adjacency list and degree array based on the edges provided.
Queue Initialization: Initialize a queue to perform a level-order traversal starting from the leaf nodes.
Leaf Node Identification: Identify leaf nodes (nodes with degree 1) and enqueue them.
Breadth-First Search (BFS): Perform a BFS traversal starting from the leaf nodes. At each level, enqueue the neighbors of the current nodes whose degrees become 1 after removing the current node from the graph.
Final Result: The last level of nodes visited in BFS will represent the potential centers of the minimum height trees. Return these nodes as the result.
Complexity
-
Time complexity:
O(n + m) -
Space complexity:
O(n + m)
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