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Advanced Data Structure and Algorithm Analysis CT-5 Remedial

Authored by Sudheer Potharaju

Computers

University

Used 2+ times

Advanced Data Structure and Algorithm Analysis CT-5 Remedial
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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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