If you want to implement a priority queue that allows for efficient decrease-key

Practice Questions

Q1
If you want to implement a priority queue that allows for efficient decrease-key operations, which data structure would be most suitable?
  1. Binary Heap
  2. Fibonacci Heap
  3. Array
  4. Linked List

Questions & Step-by-Step Solutions

If you want to implement a priority queue that allows for efficient decrease-key operations, which data structure would be most suitable?
  • Step 1: Understand what a priority queue is. A priority queue is a data structure that stores elements with priorities, allowing for efficient retrieval of the element with the highest (or lowest) priority.
  • Step 2: Learn about the decrease-key operation. This operation is used to decrease the priority of an element in the priority queue, which can affect its position in the queue.
  • Step 3: Identify the need for efficiency. If you frequently need to decrease the priority of elements, you need a data structure that can handle this operation quickly.
  • Step 4: Research different data structures for priority queues. Common options include binary heaps, binomial heaps, and Fibonacci heaps.
  • Step 5: Compare the efficiency of decrease-key operations in these data structures. Binary heaps have a time complexity of O(log n) for decrease-key, while Fibonacci heaps can perform this operation in O(1) time.
  • Step 6: Conclude that a Fibonacci heap is the best choice for a priority queue that requires efficient decrease-key operations.
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