Search⌘ K
AI Features

Introduction to Top K Elements

Explore the Top K Elements pattern to efficiently identify a subset of largest, smallest, or most frequent elements in an unsorted list. Learn how to use min and max heaps in C++ to maintain and retrieve these elements, improving time complexity from full sorting to O(n log k). Understand applications of this pattern in real-world problems like ride-sharing, finance, and social media analysis, and practice implementing it with clear examples.

About the pattern

The top k elements pattern is an important technique in coding that helps us efficiently find a specific number of elements, known as kk, from a set of data. This is particularly useful when we’re tasked with identifying the largest, smallest, or most/least frequent elements within an unsorted collection.

To solve tasks like these, one might think to sort the entire collection first, which takes O(nlog(n))O(n \log(n)) time, and then select the top k elements, taking additional ...