Final answer:
An O(n) algorithm to calculate the broadcast time of a tree involves using breadth-first search (BFS) to find the tree's height, which equals the broadcast time. The algorithm processes each node once, ensuring linear time complexity.
Step-by-step explanation:
Designing an O(n) algorithm to find the broadcast time of a tree T = (V, E) with |V| = n involves determining the minimum time required to send a message from the root to all other nodes in the tree. Since trees do not contain cycles, the broadcast time is the length of the longest path from the root to any leaf node, also known as the height of the tree. An efficient way to find the broadcast time is to perform a breadth-first search (BFS) starting from the root node and to keep track of the level (depth) of each node.
To prove the correctness of this algorithm, we can use an inductive argument. We observe that in a tree with just one node, the broadcast time is zero. Assuming the algorithm correctly finds the broadcast time for all trees with fewer than k nodes, for a tree with k nodes, the algorithm will correctly find the broadcast time since it processes nodes level by level, and the last level processed will be the one with the maximum distance from the root.
The steps of the algorithm are:
- Start with the root node and initialize its level to zero.
- Maintain a queue to hold nodes to process and enqueue the root node.
- Dequeue nodes one by one and for each, enqueue its children with level one greater than the current node.
- Keep track of the maximum level seen during the process.
- When the queue is empty, the maximum level will be the broadcast time of the tree.
This approach ensures that the algorithm runs in O(n) time since each node and edge are processed exactly once, and the number of nodes and edges in a tree are linearly related as |E| = |V| - 1.