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?

Q: Where did John von Neumann attend school as a child?

A: The question has been answered in step2

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Q: John von Neumann graduated with a doctorate from the University of Göttingen in what year

A: The answer of the question is given in the below step

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A: Find Your Answer Below

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Q: John von Neumann graduated with a doctorate from the University of Göttingen in what year?

A: John von Neumann's: John von Neumann received a Ph.D. in mathematics while studying chemical…

Q: None

A: In this answer I will be filling the blank given in the above question.

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A: Introduction: Why is Charles Babbage known as the "Father of Computing"?

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A: Answer:

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A: In which year did John von Neumann get his doctorate in mathematics.

Q: Which year did John von Neumann invent the computer and how did he do it?

A: John von Neumann: John von Neumann was a Hungarian-born mathematician and chemical engineer who…

Q: What was the year of John von Neumann's marriage?

A: John von Neumann  major contribution was quantum mechanics and game theory.

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A:

Q: Why is Charles Babbage dubbed the "founding father of computing"?

A: Charles Babbage, who was born in 1791, is regarded as the father of computing because of his…

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A: Answer :  True

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A: The question has been answered in step2

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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.