Understanding BST: What Does Binary Search Tree Mean in Coding?

Learn about BST, or Binary Search Tree, a key data structure for efficient coding.

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BST stands for Binary Search Tree in coding. It is a data structure that facilitates fast lookup, addition, and deletion of items. Each node has at most two children, referred to as the left and right child. The left child contains values less than its parent node, while the right child contains values greater than its parent.

FAQs & Answers

  1. What are the basic properties of a Binary Search Tree? A Binary Search Tree has nodes with at most two children, where the left child has a lesser value and the right child has a greater value than the parent.
  2. How do you insert a value into a BST? To insert a value, start at the root and recursively compare the value with each node, placing it in the left or right subtree accordingly.
  3. What are the advantages of using a Binary Search Tree? BSTs offer efficient data operations with average time complexity of O(log n) for lookup, insertion, and deletion, making them ideal for dynamic data.
  4. Can you explain the difference between a BST and other data structures? Unlike arrays or linked lists, BSTs allow for faster search times and dynamic growth, providing a structured way to manage sorted data.