Binary Search Trees
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What is Binary Search Trees?
A Binary Search Tree (BST) is a type of binary tree data structure where each node carries a unique key (a value), and each key/node has up to two referenced sub-trees, the left and right child. The key feature of a BST is that every node on the right subtree must have a value greater than its parent node, while every node on the left subtree must have a value less than its parent node. This property must be true for all the nodes, not just the root. Due to this property, searching, insertion, and removal of a node in a BST perform quite fast, and the operations can be done in O(log n) time complexity, making it suitable for data-intensive operations.
Free resources to learn Binary Search Trees
More in stage 11: Advanced Data Structures
- Advanced Data Structures
- Trie
- Segment Trees
- Fenwick Trees
- Disjoint Set (Union-Find)
- Suffix Trees and Arrays
- Binary Trees
- Tree Traversal
- Search Algorithms
- In-Order Traversal
- Breadth First Search
- AVL Trees
- Pre-Order Traversal
- Depth First Search
- B-Trees
- Heap
- Post-Order Traversal
- Search Algorithms
- Breadth First Search
- Depth First Search
- Shortest Path Algorithms
- Dijkstra's Algorithm
- Bellman-Ford Algoritm
- A* Algorithm
- Minimum Spanning Tree
- Prim's Algorithm
- Kruskal's Algorithm
Binary Search Trees: common questions
Can I learn Binary Search Trees in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Binary Search Trees in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Binary Search Trees tutorial for beginners?
It is lesson 61 of 107 in the free Data Structures & Algorithms roadmap, in stage 11, Advanced Data Structures. If you are new to Data Structures & Algorithms, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.