The purpose of the following algorithm is to display a queue: loop ( !que.isEmpty() ) item = print (item) end loop que.pop() Now the queue is empty. The following algorithm intends to solve the "empty after printing the queue" problem, but it is incorrect. Why? How would you fix it?

The purpose of the following algorithm is to display a queue: loop ( !que.isEmpty() ) item = print (item) end loop que.pop() Now the queue is empty. The following algorithm intends to solve the "empty after printing the queue" problem, but it is incorrect. Why? How would you fix it?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Depth First Search

Depth-first search (DFS) also known as Depth First traversal is an algorithm used to traverse or search the nodes in a tree or graph data structure. Traversal usually means visiting all the nodes of a graph. DFS performs in a depth-ward manner. It uses a stack to remember the vertices it has visited. The search starts from the root node, where any arbitrary node is selected as a root node in a graph, and then each node is explored along each branch before performing backtracking. The DFS algorithm uses a recursive technique by following the idea of backtracking. DFS algorithm does this by performing an in-depth search of all the nodes by traversing in a forward direction. If the required node is not found, it starts backtracking to previously visited nodes.

Question

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The purpose of the following algorithm is to
display a queue:
loop ( !que.isEmpty() )
item = que.pop()
print (item)
end loop
Now the queue is empty. The following
algorithm intends to solve the "empty after
printing the queue" problem, but it is
incorrect. Why? How would you fix it?
loop ( !que.isEmpty ())
item =
que.pop()
print (item)
que.push(item)
end loop

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