in both directions). The graph is fully-connected where the edge ei,j connecting any two vertices vi and vj is the straight-line distance between these two cities. We want to search for the shortest path from v₁ (the source) to UN (the destination). Assume that all edges have different values, and e₁,N has the largest value among the edges. That is, the source and destination have the largest straight-line distance. Compare the lists of explored vertices when we run the uniform-cost search and the A* search for this problem. Hint: The straight-line distance is the shortest path between any two cities. If you do not know how to start, try to run the algorithms by hand on some small cases first; but remember to make sure your graphs satisfy the conditions in the question.
in both directions). The graph is fully-connected where the edge ei,j connecting any two vertices vi and vj is the straight-line distance between these two cities. We want to search for the shortest path from v₁ (the source) to UN (the destination). Assume that all edges have different values, and e₁,N has the largest value among the edges. That is, the source and destination have the largest straight-line distance. Compare the lists of explored vertices when we run the uniform-cost search and the A* search for this problem. Hint: The straight-line distance is the shortest path between any two cities. If you do not know how to start, try to run the algorithms by hand on some small cases first; but remember to make sure your graphs satisfy the conditions in the question.
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
Related questions
Question
![Given N cities represented as vertices V₁, V2, un on an undirected graph (i.e., each edge can be traversed
in both directions). The graph is fully-connected where the edge eij connecting any two vertices vį and vj
is the straight-line distance between these two cities. We want to search for the shortest path from v₁ (the
source) to VN (the destination).
...
Assume that all edges have different values, and €₁,7 has the largest value among the edges. That is, the
source and destination have the largest straight-line distance. Compare the lists of explored vertices
when we run the uniform-cost search and the A* search for this problem.
Hint: The straight-line distance is the shortest path between any two cities. If you do not know how to
start, try to run the algorithms by hand on some small cases first; but remember to make sure your graphs
satisfy the conditions in the question.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9b63d5f0-a313-4df7-92fd-2acb696a8a17%2Fd017373a-3377-4bdb-8455-d1e5f3e2427e%2F8pt9rwa_processed.png&w=3840&q=75)
Transcribed Image Text:Given N cities represented as vertices V₁, V2, un on an undirected graph (i.e., each edge can be traversed
in both directions). The graph is fully-connected where the edge eij connecting any two vertices vį and vj
is the straight-line distance between these two cities. We want to search for the shortest path from v₁ (the
source) to VN (the destination).
...
Assume that all edges have different values, and €₁,7 has the largest value among the edges. That is, the
source and destination have the largest straight-line distance. Compare the lists of explored vertices
when we run the uniform-cost search and the A* search for this problem.
Hint: The straight-line distance is the shortest path between any two cities. If you do not know how to
start, try to run the algorithms by hand on some small cases first; but remember to make sure your graphs
satisfy the conditions in the question.
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Step 1: Optimal Path Discovery in a Fully-Connected Undirected Graph- Straight-Line Distances and Edge Value
VIEWStep 2: Uniform-Cost Search (UCS):
VIEWStep 3: A* Search:
VIEWStep 4: Comparison of Explored Vertices:
VIEWStep 5: Graph:
VIEWStep 6: Algorithm:
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