Advance data-structures
Quiz
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Business
•
University
•
Hard
Eben Sophia Paul
Used 20+ times
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20 questions
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1.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Dynamic Programming is often used for (choose all that apply):
Optimization problems that involve making a choice that leave one or more subproblems to be solved.
Problems previously solved using divide and conquer that have over lapping subproblems
Non polynomial solution problems
Subproblems where resources are shared
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
.................technique doesn't give guarantee that our solution is optimal
greedy method
dynamic programming approach
backtracking
branch and bound
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following problems is equivalent to the 0-1 Knapsack problem?
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
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
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
None of the mentioned
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If b is the source vertex, what is the minimum cost to reach f vertex?
8
9
6
4
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
...........................technique is used by solving optimization problems
divide and conquer
greedy method
dynamic programming
both b and c
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is/are property/properties of a dynamic programming problem?
Optimal substructure
Overlapping subproblems
Greedy approach
d) Both optimal substructure and overlapping subproblems
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