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You are given n BST (binary search tree) root nodes for n separate BSTs stored in an array trees (0-indexed). Each BST in trees has at most 3 nodes, and no two roots have the same value. In one operation, you can: Return the root of the resulting BST if it is possible to form a valid BST after performing n - 1 operations, or null if it is impossible to create a valid BST. A BST (binary search tree) is a binary tree where each node satisfies the following property: A leaf is a node that has no children.
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You are given n BST (binary search tree) root nodes for n separate BSTs stored in an array trees (0-indexed). Each BST in trees has at most 3 nodes, and no two roots have the same value. In one operation, you can: Return the root of the resulting BST if it is possible to form a valid BST after performing n - 1 operations, or null if it is impossible to create a valid BST. A BST (binary search tree) is a binary tree where each node satisfies the following property: A leaf is a node that has no children.
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trees = [[2,1],[3,2,5],[5,4]]
[3,2,5,1,null,4]
trees = [[5,3,8],[3,2,6]]
[]
trees = [[5,4],[3]]
[]
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Solve Merge BSTs to Create Single BST — You are given n BST (binary search tree) root nodes for n separate BSTs stored i...
Here's the optimal approach using Hash Table:
Time: O(n) | Space: O(n)
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