Current Topic — Binary Search Tree (BST)

Overview

Connected Topic(s):

🔥 ← Binary Tree

🔥 ← Tree Terminology

⚡️ ← Trees

⚡️ ← Complexity Analysis

⚡️ ← Data Structure

⚡️ ← Computer Science

⚡️ ← None

⚡️ ← Recursion

⚡️ ← Algorithm

⚡️ ← Search Algorithm

Binary Search Tree (BST)

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data_structure tree graph rooted_tree binary_tree search_tree ordered_tree hierarchical_structure acyclic_graph

code data_structures

Related Topic(s):

🔥 Heap → Heaps build on core tree concepts from BSTs—node/edge structure, height-based O(log n) reasoning, and maintaining an invariant—so understanding BST organization and operations prepares learners to grasp the heap property and logarithmic insert/extract behavior, even though heaps do not use BST ordering.

🔥 Treaps → Treaps extend binary search trees by preserving the BST key-order invariant while adding a heap property on randomly assigned priorities; they reuse BST search/insert/delete semantics and apply rotations to maintain the heap constraint for probabilistic balance.

🌟 Tree Traversals →

Order Statistics Trees →

Ordered Maps And Sets →

Range Searching →

Interval Trees →