What are the differences between various sequential algorithms?

What are the differences between various sequential algorithms?

Sequential algorithms are designed to process data in a specific order. Common types include linear search, binary search, and selection sort. Each has its own efficiency and use cases.

Can you explain how linear search works?

Sure! Linear search checks each element in a list one by one until it finds the target value or reaches the end of the list. It's simple but not very efficient for large datasets.

How does binary search improve on that?

Binary search is much faster but requires a sorted list. It repeatedly divides the search interval in half, eliminating half of the remaining elements with each step.

What about selection sort? How does it compare?

Selection sort works by repeatedly selecting the smallest (or largest) element from the unsorted portion and moving it to the sorted portion. It's less efficient than more advanced sorting algorithms like quicksort.

Which algorithm would you recommend for a large dataset?

For large datasets, I recommend using more efficient algorithms like quicksort or mergesort, as they have better average-case performance compared to selection sort.