9 docs tagged with "priority queue"

Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.

Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.

Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.

The Heap Tree is a specialized binary tree used for efficient priority queue operations and sorting.

Find the Kth largest element in an array using a heap data structure.

Finding the Kth largest element in an array using a min heap data structure, commonly used in streaming and top-K problems.

A priority queue is an abstract data type similar to a regular queue or stack data structure, but with an added feature that allows each element to have a priority. In a priority queue, elements are served based on their priority rather than their order in the queue.

A priority queue is an abstract data type similar to a regular queue or stack data structure, but with an added feature that allows each element to have a priority. In a priority queue, elements are served based on their priority rather than their order in the queue.

Find the top K most frequent elements in an array using a hash map and a heap.