The Algorithm A(start_node) below refers to the Depth-First Search. A(start_node): visited := reference to all visited nodes queue := reference to the nodes to visit later queue.enqueue(start_node) visited.add(start_node) while queue is not empty: current_node := queue.dequeue() process current_node # for example, print(current_node.value) for neighbor in current_node.neighbors: if neighbor is not in visited: queue.enqueue(neighbor) visited.add(neighbor) True False
The Algorithm A(start_node) below refers to the Depth-First Search. A(start_node): visited := reference to all visited nodes queue := reference to the nodes to visit later queue.enqueue(start_node) visited.add(start_node) while queue is not empty: current_node := queue.dequeue() process current_node # for example, print(current_node.value) for neighbor in current_node.neighbors: if neighbor is not in visited: queue.enqueue(neighbor) visited.add(neighbor) True False
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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The
A(start_node):
visited := reference to all visited nodes
queue := reference to the nodes to visit later
queue.enqueue(start_node)
visited.add(start_node)
while queue is not empty:
current_node := queue.dequeue()
process current_node
# for example, print(current_node.value)
for neighbor in current_node.neighbors:
if neighbor is not in visited:
queue.enqueue(neighbor)
visited.add(neighbor)
True
False
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