What are the differences between various search algorithms?

What are the differences between various search algorithms?

There are several search algorithms, each with its strengths and weaknesses. For example, linear search is simple but inefficient for large datasets, while binary search is much faster but requires sorted data.

Can you explain how binary search works?

Sure! Binary search works by dividing the sorted array in half and determining which half the target value lies in, repeating this process until the value is found or the search space is empty.

What about depth-first search and breadth-first search?

Depth-first search (DFS) explores as far down a branch as possible before backtracking, while breadth-first search (BFS) explores all neighbors at the present depth prior to moving on to nodes at the next depth level.

Which algorithm is generally faster?

It depends on the context. For sorted data, binary search is faster than linear search. For graph traversal, BFS is often better for finding the shortest path, while DFS can be more memory efficient.