What is a binary search tree and what is its key property?

Prepare for the TJR Bootcamp Test with quizzes and flashcards. Each question includes hints and explanations to boost your readiness for the exam!

Multiple Choice

What is a binary search tree and what is its key property?

The main idea being tested is how a binary search tree uses a specific ordering of keys to enable fast lookups and updates. In a binary search tree, each node stores a key, and all keys in the left subtree are strictly smaller than the node’s key, while all keys in the right subtree are strictly greater. This invariant lets you locate any target by comparing it to the current node: if the target is equal, you’re done; if it’s smaller, you move to the left subtree; if larger, you move to the right subtree. Because each comparison narrows the search space, operations like search, insert, and delete run efficiently on average—logarithmic time in a balanced tree. If the tree becomes unbalanced, performance can drop toward linear time, which is why balancing schemes exist. Also, an in-order traversal of a BST yields keys in sorted order, reflecting how the structure organizes data.

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