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Which of the following data structures can be used to implement the priority queue abstract data type? (Select all that apply.)

a) basic array
b) binary heap
c) self-balancing binary search tree

User Fxfuture
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1 Answer

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Final answer:

A) basic array, binary heap, and self-balancing binary search tree can all be used to implement a priority queue, with binary heap being a particularly efficient choice.

Step-by-step explanation:

The data structures that can be used to implement the priority queue abstract data type include:

  • Basic array: Though not efficient for all priority queue operations, it can be used to implement a priority queue.
  • Binary heap: This is a very efficient data structure for implementing a priority queue, offering good performance for insertion and removal.
  • Self-balancing binary search tree: Also an efficient choice, it can maintain a sorted structure, allowing for efficient priority queue operations.

Therefore, all three options, a) basic array, b) binary heap, and c) self-balancing binary search tree are suitable for implementing a priority queue, each with its own performance considerations.

User Arvind Dhasmana
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