Data Structure 0 1 Knapsack Problem Online Exam Quiz
Data Structure 0 1 Knapsack Problem GK Quiz. Question and Answers related to Data Structure 0 1 Knapsack Problem. MCQ (Multiple Choice Questions with answers about Data Structure 0 1 Knapsack Problem
You are given a knapsack that can carry a maximum weight of 60. There are 4 items with weights {20, 30, 40, 70} and values {70, 80, 90, 200}. What is the maximum value of the items you can carry using the knapsack?
Options
A : 160
B : 200
C : 170
D : 90
Which of the following methods can be used to solve the Knapsack problem?
Options
A : Brute force algorithm
B : Recursion
C : Dynamic programming
D : Brute force, Recursion and Dynamic Programming
The Knapsack problem is an example of ____________
Options
A : Greedy algorithm
B : 2D dynamic programming
C : 1D dynamic programming
D : Divide and conquer
What is the time complexity of the brute force algorithm used to solve the Knapsack problem?
Options
A : O(n)
B : O(n!)
C : O(2n)
D : O(n3)
The 0-1 Knapsack problem can be solved using Greedy algorithm.
Options
A : True
B : False
C :
D :
Which of the following problems is equivalent to the 0-1 Knapsack problem?
Options
A : You are given a bag that can carry a maximum weight of W. You are given N items which have a weight of {w1, w2, w3,…., wn} and a value of {v1, v2, v3,…., vn}. You can break the items into smaller pieces. Choose the items in such a way that you get the maximum value
B : You are studying for an exam and you have to study N questions. The questions take {t1, t2, t3,…., tn} time(in hours) and carry {m1, m2, m3,…., mn} marks. You can study for a maximum of T hours. You can either study a question or leave it. Choose the questions in such a way that your score is maximized
C : You are given infinite coins of denominations {v1, v2, v3,….., vn} and a sum S. You have to find the minimum number of coins required to get the sum S
D : You are given a suitcase that can carry a maximum weight of 15kg. You are given 4 items which have a weight of {10, 20, 15,40} and a value of {1, 2, 3,4}. You can break the items into smaller pieces. Choose the items in such a way that you get the maximum value
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