The Increasing Order Search Tree coding problem asks you to rearrange a given Binary Search Tree (BST) into a skewed tree. In the new tree, every node should only have a right child, and no left child. The nodes must appear in increasing order of their values, which means the resulting structure is effectively a linked list composed of tree nodes.
Companies like Google and Amazon use this "Easy" question to test a candidate's understanding of tree traversal properties. Since it's a BST, an Inorder Traversal naturally visits the nodes in sorted order. The problem evaluates your ability to manipulate pointers during a traversal to restructure a data structure without losing references to nodes. It checks for a solid grasp of recursion and pointer management.
The problem is solved using the Inorder Traversal (Left-Root-Right) pattern.
null.Original BST:
5
/
3 6
dummy.right = 3, 3.left = null. current = 3.3.right = 5, 5.left = null. current = 5.5.right = 6, 6.left = null. current = 6.
Result: 3 -> 5 -> 6 (all right children).left child of each node to null in the new tree.Always remember the BST property: Inorder = Sorted. When you need to do something with BST nodes in a specific order, inorder traversal is almost always the starting point. Practice doing it "in-place" to show off your memory management skills.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Find Mode in Binary Search Tree | Easy | Solve | |
| Binary Tree Postorder Traversal | Easy | Solve | |
| Binary Tree Preorder Traversal | Easy | Solve | |
| Binary Tree Inorder Traversal | Easy | Solve | |
| Range Sum of BST | Easy | Solve |