An efficient search minimizes the number of comparisons made.

Question

Quizplus · Accepted Answer

an efficient search algorithm indeed minimizes the number of comparisons made. The goal of such an algorithm is to reduce the time complexity, which is the amount of time taken to run an algorithm. By minimizing the number of comparisons, the algorithm can find the desired data more quickly. This is particularly important in large data sets, where an inefficient algorithm can result in significantly slower search times. Examples of efficient search algorithms include binary search and hash-based search, both of which aim to minimize the number of comparisons.

An Efficient Search Minimizes the Number of Comparisons Made