What is the complexity analysis of different search algorithms?

What is the complexity analysis of different search algorithms?

The complexity analysis of search algorithms typically involves evaluating their time and space complexity. For example, linear search has a time complexity of O(n), while binary search has a time complexity of O(log n).

Can you explain why binary search is faster than linear search?

Certainly! Binary search is faster because it divides the search space in half with each step, while linear search checks each element one by one.

What are some common search algorithms I should know about?

Some common search algorithms include linear search, binary search, depth-first search, and breadth-first search.

How does the space complexity differ between these algorithms?

Space complexity varies; for instance, linear search has O(1) space complexity, while depth-first search can have O(h) where h is the height of the tree.

Are there any real-world applications for these search algorithms?

Yes, search algorithms are used in various applications like database querying, pathfinding in maps, and even in AI for game development.