Korea University of Technology & Education Researcher Interview Questions and Answers

The time complexity of binary algorithm is O(log n).

• Binary algorithm is a search algorithm that divides the search interval in half at every step.

• It is a very efficient algorithm with a time complexity of O(log n).

• For example, if we have an array of 100 elements, binary search will take at most 7 steps to find the element.

• The time complexity of binary algorithm is much better than linear search which has a time complex

Worst case of an algorithm is when it takes the maximum possible time to complete.

• The worst case scenario occurs when the input size is at its maximum

• It is important to consider worst case complexity when analyzing algorithms

• Examples include linear search on a sorted array and bubble sort

It depends on the specific algorithm and the size of the input data.

• Different algorithms have different time complexities and may perform differently depending on the input size.

• For example, quicksort is generally faster than bubblesort, but may perform worse on already sorted data.

• Benchmarking and analyzing the specific use case is necessary to determine the fastest algorithm.