How do binary trees differ from B-trees?

How do binary trees differ from B-trees?

Binary trees are hierarchical data structures with nodes having at most two children, while B-trees are balanced tree structures optimized for disk storage, allowing multiple children per node.

What are the advantages of using B-trees over binary trees?

B-trees provide better performance for large datasets, as they minimize disk reads and writes, making them ideal for database indexing.

Can you give an example of where each type of tree would be used?

Binary trees are often used in applications like expression parsing, while B-trees are commonly used in databases and file systems for efficient data retrieval.

Are there any specific algorithms that work better with one type of tree?

Yes, algorithms like depth-first search are well-suited for binary trees, while B-trees utilize algorithms for balancing and searching that are optimized for their structure.