From 0 to 1 Data Structures & Algorithms in Java - Count Trees, Print Range and Is BST

The video tutorial covers several binary tree problems, including finding paths with specific sums, identifying the least common ancestor, and counting structurally unique binary trees using combinatorics. It also explains how to print nodes within a specified range in a binary search tree and verify if a binary tree is a valid binary search tree. The tutorial provides both conceptual explanations and code demonstrations for these problems.

What is the significance of the least common ancestor in a binary tree?

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How do you determine the number of structurally unique binary trees that can be formed with a given number of nodes?

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Explain the difference between the structure of a binary tree and the values of its nodes.

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How can you identify mirror trees in the context of structurally unique binary trees?

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What is the significance of the left and right subtrees in the context of counting unique binary trees?

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What approach can be used to print all nodes within a specified range in a binary search tree?

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Describe the constraints that define a binary search tree.

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How does the recursive solution for checking a binary search tree differ from the iterative solution?

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What role does the min and max range play in determining if a binary tree is a binary search tree?

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What is the base case for checking if a binary tree is a binary search tree?

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