Binary Tree Problem-Solving Approaches When solving binary tree problems, two primary thinking patterns are commonly used: Traversal-Based Approach: This approach focuses on whether the solution can be obtained by traversing the binary tree once. Typically, a traversal function (such as pre-order, i...
Every recursive tree traversal follows a consistent decomposition built from three parts: a function signature that accepts the current subtree and an output collector, a base case that stops descent, and the logic that treats each deeper call as already completed. Recursive Depth-First Traversal Th...
Binary Tree Fundamentals A binary tree node consists of a value, a left child, and a right child: class TreeNode: def __init__(self, val, left=None, right=None): self.val = val self.left = left self.right = right Recursive Traversal Three steps define recursion: Define function parameters and return...
