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Introduction to Top K Elements

Explore the top K elements pattern to efficiently identify the largest or smallest K elements in unsorted data using heap structures. Understand how min and max heaps help maintain these elements dynamically, improving performance from O(n log n) to O(n log k). This lesson equips you with techniques to solve frequency, size, and closest-element problems in coding interviews and real-world scenarios.

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 ...