Exercise 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. Exercise 2 Find an optimal solution for the knapsack instance n (number of objects) -7 and W (total weight) -15, in such a way that the total weight is less than or equal to a given limit and the total profit value is as large as possible. Profits and weights of each object are as follows (p1, p2p7) (10, 5, 15, 7, 6, 18, 3) (w1, w2.........w7) = (2,3,5,7,6,4,1)

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
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Exercise
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.
Exercise 2
Find an optimal solution for the knapsack instance n (number of objects) -7 and W (total weight) -15, in
such a way that the total weight is less than or equal to a given limit and the total profit value is as
large as possible. Profits and weights of each object are as follows
(p1, p2p7)
(10, 5, 15, 7, 6, 18, 3)
(w1, w2.........w7) = (2,3,5,7,6,4,1)
Transcribed Image Text:Exercise 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. Exercise 2 Find an optimal solution for the knapsack instance n (number of objects) -7 and W (total weight) -15, in such a way that the total weight is less than or equal to a given limit and the total profit value is as large as possible. Profits and weights of each object are as follows (p1, p2p7) (10, 5, 15, 7, 6, 18, 3) (w1, w2.........w7) = (2,3,5,7,6,4,1)
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