Compare different types of data structures : Binary Indexed Trees

The video tutorial introduces binary indexed trees (BIT) as a data structure for efficiently solving query and update problems with sums. It explains the use of bitwise operations to handle trailing zeros and demonstrates the implementation of query and update functions. The tutorial highlights the efficiency of BIT compared to segment trees, emphasizing simpler operations and less code. The video concludes with building and testing the BIT, showcasing its performance.

Can you provide an example of how to compute the number of trailing zeros in a binary number?

How does the binary indexed tree compare to segment trees in terms of implementation complexity?

What are the advantages of using binary indexed trees over other data structures for similar problems?