This quiz, titled 'CS501 - Design & Analysis of Algorithm - IEM', assesses key concepts in algorithm design including Big O Notation, algorithm design techniques, and complexity analysis. It's ideal for students in computer science, particularly those focusing on software development and algorithm optimization.
Dynamic Programming
Divide and Conquer
Greedy Method
Branch and Bound
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O(n)
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Linear
Binary
Both
None
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Kruskal's Algorithm
Dijkstra's Algorithm
BFS
DFS
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O(n)
BFS
DFS
Binary Search
None
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O(|V| + |E|)
O(|V|)
O(|E|)
None of these
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Sorting
Do Loop
One-dimensional array
Array
Binary Search
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O(n)
Exchanging
Partitioning
Selection
Merging
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O(n)
O(1)
O(n2)
O(log n)
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True
False
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The algorithm has no error
The sequence is wrong, the correct one is 3->1->2
The sequence is wrong, the correct one is 2->1->3
The sequence is wrong, the correct one is 3->2->1
O(n)
None of these
O(n)
Sorted linked lists
Sorted binary trees
Sorted linear array
Sorted integer array
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Upper Bound
Lower Bound
Between upper & lower bounds
None of these
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2
3
4
1
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Is the remainder of x/2, if x is an odd number
Is the the non-integer part of x/2
Is the integer part of x/2
Is an integer chosen arbitrarily, so long that it is smaller than x+n
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None of these
Less than deterministic algorithm
Greater than deterministic algorithm
Equal to deterministic algorithm
None of these
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O(n)
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Loop
Array
Binary Search
One-dimensional array
Sorting
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P
NP
NP Complete
NP Hard
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O(n)
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O(n)
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Asymptotically loose
asymptotically tight
Same as big oh
None of these
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Branch & Bound
Backtracking
Divide & Conquer
Dynamic Programming
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Dynamic Programming
Greedy Method
Both
None
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Top-down
Bottom-up
Both
None
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1
0
-1
both 0 and 1
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All NP Hard problems are NP Complete
All NP Complete problems are NP Hard
Some NP Complete problems are NP Hard
None of these
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O(n)
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15,10,20,18 -- 15,10,18,20 -- 10,15,18,20
15,20,10,18 -- 15,10,20,18 -- 10,15,20,18
10, 20,15,18 -- 10,15,20,18 -- 10,15,18,20
10, 20,15,18 -- 10,18,15,20 -- 10,15,18,20
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Knapsack problem
Hamiltonian Problem
Graph coloring
15 puzzle problem
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It is a comparison sorting algorithm.
The unsorted array is divided into sublists, which are in turn divided into more sublists.
The unsorted array is divided into sublists, each sublist is then sorted recursively by re-applying the algorithm.
All of the above statements are true
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