Exercise: Find the total distance from city A to city M using BFS and DFS. Consider the map in FIGURE Q3 with the actual distance (km) betweencities. The estimated distance between each city to city M is shown inTABLE Q3AB1510ED101510H15322035LLF95158090251595MCITYABCDEFGHIJKLMDistance (km)90855065100559575554530350

To find the total distance from city A to city M using BFS (Breadth-First Search) and DFS…

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Exercise: Find the total distance from city A to city M using BFS and DFS.

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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Longest Common Subsequence

The Longest Common Subsequence (LCS) is defined as the longest subsequence that is shared by all of the given sequences, assuming that the subsequence's elements do not have to be in consecutive locations in the original sequences. It is used in the areas like bioinformatic, revision control systems like SVN and Git.

Question

Exercise: Find the total distance from city A to city M using BFS and DFS.

Consider the map in FIGURE Q3 with the actual distance (km) between
cities. The estimated distance between each city to city M is shown in
TABLE Q3
A
B
15
10
E
D
10
15
10
H
15
32
20
35
LL
F
95
15
80
90
25
15
95
M
CITY
A
B
C
D
E
F
G
H
I
J
K
L
M
Distance (km)
90
85
50
65
100
55
95
75
55
45
30
35
0

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Step 1: BFS Algorithm:

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Step 2: Using the BFS algorithm, let's calculate the total distance from city A to city M:

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Step 3: continued

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Step 4: DFS Algorithm:

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Step 5: Using the DFS algorithm, let's calculate the total distance from city A to city M:

Step 6: continued

Step 7: continued

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