The values put into the priority queue would be the priority of the sender (e.g., using 4 for the chair, 3 for professors, 2 for grad students, and 1 for undergrads), and the associated information would be the document to print. Each time the printer is free, the job with the highest priority would be removed from the print queue, and printed. -The priority_queue ensures that when you look at the top( ) element it will be the one with the highest priority. When you're done with it, you call pop( ) to remove it and bring the next one into place. Thus, the priority_queue has nearly the same interface as a stack, but it behaves differently.-Topics include algorithm analysis; stacks; queues; lists; trees; forests; heaps; hash tables; priority queues; coalescable equivalence relations as ADTs; sorting algorithms and their analyses; Prim, Kruskal, Dijkstra, other graph algorithms; algorithm design strategies including greedy, dynamic programming, probabilistic, backtracking, and ... -A priority queue is a special queue where: Every item in the queue has a priority, and Higher-priority items are dequeued before lower-priority items. Picture a big list of bugs for an engineering team to tackle. You want to keep the highest-priority bugs at the top of the list.

©Priority queue data structure is an abstract data type that provides a way to maintain a set of elements, each with an associated value called key.. There are two kinds of priority queues: a max-priority queue and a min-priority queue. • A queue is a list that supports insertion at the end and removal from the beginning. It’s a First-In-First-Out, or FIFO, list. The British wait in a queue for their football tickets, Americans wait in a line. The priority queue is another kind of list. Each item in a priority queue has a priority. New items are simply Topics include algorithm analysis; stacks; queues; lists; trees; forests; heaps; hash tables; priority queues; coalescable equivalence relations as ADTs; sorting algorithms and their analyses; Prim, Kruskal, Dijkstra, other graph algorithms; algorithm design strategies including greedy, dynamic programming, probabilistic, backtracking, and ...