Understanding BST: What is a Binary Search Tree?

Discover the meaning of BST and learn about Binary Search Trees, their properties, and efficient data operations.

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BST stands for Binary Search Tree, a data structure in computing. It allows for efficient storage, retrieval, and deletion of data. In a BST, each node has at most two children. The left child's value is less than the parent node, and the right child's value is greater. This property enables fast search operations, typically with a time complexity of O(log n).

FAQs & Answers

  1. What is the time complexity of searching in a BST? The average time complexity of searching in a Binary Search Tree is O(log n).
  2. How does a Binary Search Tree differ from a regular binary tree? A Binary Search Tree has the property that each node's left child is less than the node itself, and the right child is greater, enabling ordered data retrieval.
  3. What are the advantages of using a Binary Search Tree? Binary Search Trees provide efficient data operations like insertion, deletion, and lookup, typically requiring O(log n) time complexity.
  4. Can a Binary Search Tree be balanced? Yes, a balanced Binary Search Tree maintains efficiency by minimizing the height of the tree, leading to faster operations.

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For more insights into data structures and algorithms, check out our other videos on Tree Structures and their applications in programming.

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