How can dynamic programming be applied to binary trees?
Dynamic programming can optimize problems involving binary trees by storing results of subproblems to avoid redundant calculations.
Can you give me an example of a problem that uses this approach?
Sure! One common problem is finding the maximum path sum in a binary tree, where you can use dynamic programming to store the maximum sums at each node.
What is the time complexity of this approach?
The time complexity is O(n), where n is the number of nodes in the binary tree, since each node is visited once.
Are there any other applications of dynamic programming in trees?
Yes, dynamic programming can also be used for problems like subtree isomorphism and finding the longest common subsequence in trees.
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