Which data structure would be most efficient for implementing a priority queue? a) array b) linked list c) binary heap d) stack
Understand the Problem
The question is asking to identify the most efficient data structure for implementing a priority queue from the given options, which include an array, a linked list, a binary heap, and a stack. To determine the correct answer, we will evaluate the performance characteristics of each data structure in relation to the operations typically performed on a priority queue, such as insertion and removal of elements based on priority.
Answer
Binary heap
The most efficient data structure for implementing a priority queue is a binary heap.
Answer for screen readers
The most efficient data structure for implementing a priority queue is a binary heap.
More Information
A binary heap is efficient for a priority queue because it allows for quick insertion and removal of elements, typically in logarithmic time, making it more suitable than arrays or linked lists.
Tips
A common mistake is to think that linked lists or arrays might be more efficient due to simpler insertions or structure, but they don't perform as well for priority queue operations.
