undirected graph

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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Exercise 1 (2
The table below specifies the distances between some connected cities.
Cities
1
2
3
4
5
6
7
8
Assignment
Design and Analysis of Algorithms
1
100
250
2
150
3
110
4
270
5
200
6
20
7
190
8
130
1- Draw the undirected graph showing the connections between cities.
2- Based in the undirected graph of question 1, use a greed algorithm approach to find the shortest
tour that connects all the cities. This tour should not contain any cycle. You must show all the
computing steps.
Exercise 2
The longest palindromic subsequence problem is a classic variation of the Longest Common
Subsequence (LCS) problem. The idea is to find LCS of the given string with its reverse, i.e., call LCS(X,
reverse(X)) and the longest common subsequence will be the longest palindromic subsequence.
1- We consider the sequence X = ABBDCACB. Apply the appropriate dynamic programming
algorithm to compute the longest palindrome sequence and it is length. You must show all the
computing steps.
Transcribed Image Text:Exercise 1 (2 The table below specifies the distances between some connected cities. Cities 1 2 3 4 5 6 7 8 Assignment Design and Analysis of Algorithms 1 100 250 2 150 3 110 4 270 5 200 6 20 7 190 8 130 1- Draw the undirected graph showing the connections between cities. 2- Based in the undirected graph of question 1, use a greed algorithm approach to find the shortest tour that connects all the cities. This tour should not contain any cycle. You must show all the computing steps. Exercise 2 The longest palindromic subsequence problem is a classic variation of the Longest Common Subsequence (LCS) problem. The idea is to find LCS of the given string with its reverse, i.e., call LCS(X, reverse(X)) and the longest common subsequence will be the longest palindromic subsequence. 1- We consider the sequence X = ABBDCACB. Apply the appropriate dynamic programming algorithm to compute the longest palindrome sequence and it is length. You must show all the computing steps.
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