Data Structures and Algorithms The Complete Masterclass - Binary Search Tree

This video tutorial covers binary search trees (BSTs), explaining their structure, types, and operations. It discusses the differences between balanced and unbalanced BSTs, focusing on their complexity and logarithmic dependence. The tutorial also details operations like searching, insertion, and deletion, including handling cases with zero, one, or two children. The importance of maintaining a balanced tree for optimal performance is emphasized.

What is the maximum number of children a node can have in a binary tree?

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Explain the concept of a binary search tree (BST).

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What is the difference between a balanced and an unbalanced binary search tree?

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How do you determine if a binary tree is balanced?

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How does the height of a binary search tree affect its performance?

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What is the significance of logarithmic time complexity in binary search trees?

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What is the time complexity for searching in a balanced binary search tree?

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Describe the process of inserting a new node into a binary search tree.

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What are the three cases to consider when deleting a node in a binary search tree?

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Explain how a binary search tree can become unbalanced.

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