
Advanced Data Structure and Algorithm Analysis CT-5 Remedial
Authored by Sudheer Potharaju
Computers
University
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30 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following methods can be used to solve the Knapsack problem?
Brute force algorithm
Recursion
Dynamic programming
Brute force, Recursion and Dynamic Programming
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The 0-1 Knapsack problem can be solved using Greedy algorithm.
True
False
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following standard algorithms is not Dynamic Programming based?
Bellman–Ford Algorithm for single source shortest path
Floyd Warshall Algorithm for all pairs shortest paths
0-1 Knapsack problem
Prim's Minimum Spanning Tree
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the different techniques to solve dynamic programming problems:
Memoization
Bottom-Up
Both
None
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is memoization in the context of dynamic programming?
A technique to write memory-efficient programs.
A way to avoid solving subproblems by storing their solutions and reusing them.
A process of converting recursive algorithms into iterative ones.
A method of analyzing the time complexity of algorithms.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The time complexity of solving the 0-1 Knapsack Problem using dynamic programming with a bottom-up approach (tabulation) is:
O(n)
O(n log n)
O(n * capacity)
O(n * capacity^2)
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Knapsack problem is an example of ____________
Greedy algorithm
2D dynamic programming
1D dynamic programming
Divide and conquer
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