Data Structures Algorithms-II MCQs

Page No. 107

Longest common subsequence is an example of ____________


aGreedy algorithm

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b2D dynamic programming

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c1D dynamic programming

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dDivide and conquer

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Which of the following problems can be solved using the longest subsequence problem?


aLongest increasing subsequence

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bLongest palindromic subsequence

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cLongest bitonic subsequence

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dLongest decreasing subsequence

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Consider the strings “PQRSTPQRS” and “PRATPBRQRPS”. What is the length of the longest common subsequence?


a9

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b8

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c7

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d6

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View Answer 7

Which of the following methods can be used to solve the longest common subsequence problem?


aRecursion

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bDynamic programming

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cBoth recursion and dynamic programming

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dGreedy algorithm

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Longest palindromic subsequence is an example of ______________


aGreedy algorithm

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b2D dynamic programming

✓


c1D dynamic programming

✖


dDivide and conquer

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For every non-empty string, the length of the longest palindromic subsequence is at least one.


aTrue

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bFalse

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ceither A. or (b)

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d None of these

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View Answer True

What is the time complexity of the brute force algorithm used to find the length of the longest palindromic subsequence?


aO(1)

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bO(2n)

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cO(n)

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dO(n2)

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View Answer O(2n)

What is the length of the longest palindromic subsequence for the string “ababcdabba”?


a6

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b7

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c8

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d9

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View Answer 7

For which of the following, the length of the string is not equal to the length of the longest palindromic subsequence?


aA string that is a palindrome

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bA string of length one

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cA string that has all the same letters(e.g. aaaaaa)

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dSome strings of length two

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Which of the following is not a palindromic subsequence of the string “ababcdabba”?


a abcba

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babba

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cabbbba

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dadba

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View Answer adba

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