Binary Tree Depth (Recursion/Level Traversal) Tree structures represent hierarchical data with recurisve properties. For practical use, a struct with left and right pointers (or indices) to track child nodes suffices. Problem: Binary Tree Depth This problem focuses on binary tree storage and depth c...
Binary Tree Terminology Root Node: A node with no parent. Leaf Node: A node with no children. Edge: The line segment connecting two nodes. Level: Incrementing from top to bottom, with the topmost level being 1. Degree of a Node: The number of child nodes it has. Height of a Binary Tree: The length (...
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...
The concept of "maintaining" a data structure involves preserving its inherent properties during operations. For instance, maintaining a monotonic queue ensures specific elements are removed during push and pop operations to keep the queue's monotonic order. Core Concepts of Binary Trees T...
The Morris algorithm achieves constant auxiliary space complexity by temporarily converting the binary tree into a threaded structure, utilizing null child pointers to establish return paths instead of explicit stacks or recursion. Core Threading Mechanism The fundamental operation involves locating...
Given a binary tree: struct Node { int val; Node *left; Node *right; Node *next; } Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL. Initially, all next pointers are set to NULL. Example 1: Input: root = [1,2,3,4,5,nul...
Given the root of a binary tree, return a list where each element is the largest value in its corresponding tree level. Example 1: Input: root = [1,3,2,5,3,null,9] Output: [1,3,9] Example 2: Input: root = [1,2,3] Output: [1,3] Constraints: The number of nodes is in the range [0, 10^4]. -2^31 <= N...
Givan a binary tree, the maximum depth is the number of nodes along the longest root‑to‑leaf path. Leaf nodes are those with no children. Depth‑First Search (Recursive) The recursive approach computes the depth of the left and right subtreees, then takes the maximum plus one. class TreeNode: def __i...
Merging Overlapping Intervals When dealing with a colection of intervals, the objective is to consolidate all overlapping segments into a single continuous range. The most efficient approach involves sorting the intervals by their starting points. This ensures that we only need to compare the curren...
To implement binary tree operations in C, a queue is used for level - order traversal and checking if a tree is a complete binary tree (unlike C++ which may not need an external queue structure for some operations). Here are the core operations: Constructing a Binary Tree Node The CreateBinaryTree f...