Day 41: Priority Queue ADT and Binary Heap

After reading this chapter and engaging in the embedded activities and reflections, you should be able to:

• Explain the priority queue abstraction and distinguish it from a regular queue
• Identify real-world scenarios where priority-based processing is essential
• Define the priority queue operations (insert, best, remove)
• Explain why simple array and linked list implementations are inefficient
• Describe the binary heap structure property (complete binary tree)
• Describe the binary heap order property (max-heap vs min-heap)
• Represent a binary heap using an array
• Calculate parent and child indices using the array representation formulas
• Verify that a given array satisfies the heap property
• Trace the relationship between array indices and tree positions