Find top three elements in binary tree

Finding the top three elements in a binary tree typically refers to identifying the three largest values stored in the tree.

In a binary tree, each node can have at most two children: a left child and a right child. To find the top three elements in the tree, you would need to traverse the tree and compare the values stored in each node.

One common approach is to use a modified depth-first search algorithm, where you start at the root of the tree and recursively visit each node, keeping track of the largest three values seen so far. You can use a list or a priority queue to store the top three elements and update it as you traverse the tree.

Alternatively, you can use a breadth-first search algorithm, where you start at the root and explore each level of the tree, keeping track of the largest three values seen so far at each level. This approach is less efficient than the depth-first search approach, but it can be useful if the tree is very wide or if you need to find the top three elements in a specific order (e.g., from largest to smallest).