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Subject

Design and Analysis of Algorithms

This course introduces basic elements of the design and analysis of computer algorithms. Topics include asymptotic notations and analysis, divide and conquer strategy, greedy methods, dynamic programming, basic graph algorithms, NP-completeness, and approximation algorithms. For each topic, beside in-depth coverage, one or more representative problems and their algorithms shall be discussed.

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HamroCSIT User
How does 0/1 Knapsack problem differ from fractional one? Find the minimum vertex cover in the following graph.

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Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Distinguish between recursion and backtracking. Using Miller-Rabin primality test, check whether 53 is prime or not?
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
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Justify the worst case for binary search. Find the edit distance from the string “RELEVANT” to “ELEPHANT” using dynamic programming approach.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
State the time and space complexity for sequential search. Write the rules for master theorem for finding asymptotic bounds.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Define class P and NP problem. Why do we need approximation algorithms? Justify.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Find all possible subsets of the integers that sum to 21 in the array {5, 6, 10, 11, 15} using back tracking technique.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
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Using Extended Euclidean Algorithm, find the GCD of 12 and 16.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Find the best and worst case for Bubble sort.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Solve the recurrence relation T(n) = 2T(n/2) + n using recursion tree method.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
HamroCSIT User
Distinguish between dynamic programming and memorization. Parenthesize the matrices A(30 × 1), B(1 × 40), C(40 × 10) and A(10 × 15), for computing matrix multiplication using dynamic programming.
Not Answered Design and Analysis of Algorithms Asked on 2082 Exam
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