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.
Sources
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