Information Technology course materials
VELAMMAL COLLEGE OF ENGINEERING AND TECHNOLOGY
DEPARTMENT OF INFORMATION TECHNOLOGY
Aptitude Question Bank
Subject code/Name: CS6402/Design and Analysis of Algorithms
Year/Sem: II/IV Batch: 2016 – 2020
|UNIT I -INTRODUCTION |
|Notion of an Algorithm – Fundamentals of Algorithmic Problem Solving – Important Problem Types – Fundamentals of the Analysis of Algorithm |
|Efficiency – Analysis Framework – Asymptotic Notations and its properties – Mathematical analysis for Recursive and Non-recursive |
|algorithms. |
1.Consider a linked list of n elements. What is the time taken to insert an element after an element pointed by some pointer?
A. O (1) B. O (n) C. O (log2 n) D .O (n log2 n)
Answer A
2.An algorithm is made up of two independent time complexities f (n) and g (n). Then the complexities of the algorithm is in the order of
A. f(n) x g(n) B. Max ( f(n),g(n)) C. Min (f(n),g(n)) D. f(n) + g(n)
Answer B
3.Two main measures for the efficiency of an algorithm are
A. Processor and memory B. Complexity and capacity C. Time and space D. Data and space
Answer C
4.The total number of comparisons in a bubble sort is
A. 0(log n) B. 0(n log n) C. 0(n) D. None of the above
Answer B
5.Time complexities of three algorithms are given. Which should execute the slowest for large values of N?
A. ( 1 2 ) O N B. O(N) C. O(log N) D. None of these
Answer B
6.The upper bound of computing time of m coloring decision problem is
A. O(nm) B .O(nm) C. O(nmn) D. O(nmmn)
Answer C
7.The space factor when determining the efficiency of algorithm is measured by
A. Counting the maximum memory needed by the algorithm B. Counting the minimum memory needed by the algorithm C. Counting the average memory needed by the algorithm
D. Counting the maximum disk space needed by the algorithm
Answer A
8.If the address of A[1][1] and A[2][1] are 1000 and 1010 respectively and each element occupies 2 bytes then the array has been stored in order.
A. row major B. column major C. matix major D. none of these
Answer A
9.The time factor when determining the efficiency of algorithm is measured by
A. Counting microseconds
B. Counting the number of key operations
C. Counting the number of statements
D. Counting the kilobytes of algorithm
Answer B
10.The Worst case occur in linear search algorithm when
A. Item is somewhere in the middle of the array
B. Item is not in the array at all
C. Item is the last element in the array
D. Item is the last element in the array or is not there at all
Answer D
11.A list of n strings, each of length n, is sorted into lexicographic order using the merge-sort algorithm. The worst case running time of this computation is
A. O (n log n) B. O (n2 log n) C. O (n2 + log n) D. O (n2)
Answer A
12. Which of the following case does not exist in complexity theory
A. Best case B. Worst case C. Average case D. Null case
Answer D
13. The minimum number of multiplications and additions required to evaluate the polynomial P =
4x3+3x2-15x+45 is
A. 6 & 3 B. 4 & 2 C. 3 & 3 D. 8 & 3
Answer C
14. The concept of order Big O is important because
A. It can be used to decide the best algorithm that solves a given problem
B. It determines the maximum size of a problem that can be solved in a given given amount of time
C. It is the lower bound of the growth rate of algorithm
D. Both A and B
Answer A
15.Consider the following pseudo-code : If (A > B) and (C > D) then
A = A + 1
B = B + 1
Endif
The cyclomatic complexity of the pseudo-code is
A. 2 B. 3 C. 4 D. 5
Answer D
16. The recurrence relation capturing the optimal execution time of the Towers of Hanoi problem with n discs is
A. T(n) = 2T(n - 2) + 2
B. T(n) = 2T(n - 1) + n
C. T(n) = 2T(n/2) + 1
D. T(n) = 2T(n - 1)
17. Analysis of Selection Sort ends up with
• T(n)
• T(1/1+n)
• T(n/2)
• T((n/2) +n)
18. How many elements do we eliminate each time for the Analysis of Selection Algorithm?
• (n / 2)+n Elements
• n / 2 Elements
• n / 4 Elements
• 2 n Elements
19. The Sieve Sequence is a special case where the number of smaller sub problems is just____.
• 4
• Many
• 1
• Few
20. The Analysis of Selection Sort shows that the total running time is indeed ____in n?
• Geometric
• Linear
• Arithmetic
• Algebraic
21. For the sieve technique we solve the problem
• Recursively
• Randomly
• Mathematically
• Precisely
22.How much time merger sort takes for an array of numbers?
• T(n^2)
• T(n)
• T(log n)
• T(n log n)
23.O-notation provides an asymptotic
a) upper bound c) light bound
b) lower bound d) none of these
24.In which sorting technique at every step each element is placed in its proper position?
a) Bubble sort c) Quick sort
b) Merge sort d) Heap sort
25. The upper bound on the time complexity of the nondeterministic sorting algorithm is
(a) O(n) (b) O(n log n) (c) O(1) (d) O( log n) (e) O(n2).
Ans: O(n)
26.
|For analyzing an algorithm, which is better computing time? |
|(a)O (100 Log N) (b) O (N) |(c)O (2N) (d) O (N logN) (e) O (N2). |
Ans :O (100 Log N)
|UNIT II - BRUTE FORCE AND DIVIDE-AND-CONQUER |
|Brute Force - Closest-Pair and Convex-Hull Problems-Exhaustive Search - Traveling Salesman Problem -Knapsack Problem - Assignment problem. |
|Divide and conquer methodology – Merge sort – Quick sort – Binary search – Multiplication of Large Integers – Strassen‟s Matrix |
|Multiplication-Closest-Pair and Convex-Hull Problems. |
1.T is a search tree of order M, its size is N, and its height is K. The computation time needed to INSERT/DELETE a data item on T is
(a) O( 1 ) (b) O( M )
(c) O( Log K ) (d) O( K )
Answer : D
2. Five statements about B-trees are below. Four of them are correct. Which one is
INCORRECT?
(a) All B-trees are also search trees
(b) The word B-tree stands for balanced tree
(c) The word B-tree also stands for binary tree
(d) All leaves of a B-tree must be on the same level
Answer : C
3.For any B-tree of height H (H>1), after inserting a new key, is it possible for a key, K, which was located in a leaf-node to move up to the root in this regard which of the following is correct?
(a) Can’t be defined without data
(b) Never
(c) Yes, only if H=2 (d) Yes
Answer : D
4.When we say the order of a tree is M, we mean
(a) Every non-leaf node must have M subtrees
(b) Every non-leaf node must have M keys
(c) Every non-leaf node can have at most M subtrees
(d) Every non-leaf node can have at most M keys
Answer : C
5.In an arbitrary tree ( not a search tree) of order M. Its size is N, and its height is K. The computation time needed to find a data item on T is
(a) O(K*K) (b) O(M*M) (c) O(N)
(d) O(K) Answer : C
6.For the bubble sort algorithm, what is the time complexity of the best/worst case? (assume that the computation stops as soon as no more swaps in one pass)
(a) best case: O(n) worst case: O(n*n)
(b) best case: O(n) worst case: O(n*log(n))
(c) best case: O(n*log(n)) worst case: O(n*log(n)) (d) best case: O(n*log(n)) worst case: O(n*n)
Answer : A
7.For the quick sort algorithm, what is the time complexity of the best/worst case?
(a) best case: O(n) worst case: O(n*n)
(b) best case: O(n) worst case: O(n*log(n))
(c) best case: O(n*log(n)) worst case: O(n*log(n)) (d) best case: O(n*log(n)) worst case: O(n*n)
Answer : D
8.The postfix form of A*B+C/D is
A. *AB/CD+ B. AB*CD/+
C. A*BC+/D D. ABCD+/*
9.When converting binary tree into extended binary tree, all the original nodes in binary tree are
A. internal nodes on extended tree B. external nodes on extended tree C. vanished on extended tree
D. None of above
10.One can make an exact replica of a Binary Search Tree by traversing it in
B. Inorder B. Preorder C. Postorder D. Any order
11.The goal of hashing is to produce a search that takes
A. O(1) time
B. O(n2 ) time
C. O(log n ) time
D. O(n log n ) time
12.Which of the following sorting algorithm is of divide-and-conquer type?
A. Bubble sort B. Insertion sort C. Quick sort
D. All of above
13.The pre-order and post order traversal of a Binary Tree generates the same output. The tree can have maximum
A. Three nodes B. Two nodes C. One node D. Any number of nodes
14.The post order traversal of a binary tree is DEBFCA. Find out the preorder traversal.
A. ABFCDE B. ADBFEC C. ABDECF D. ABDCEF
15.A search technique where we keep expanding nodes with least accumulated cost so far is called
A. Hill climbing
B. Branch and bound
C. Best first
D. Divide and conquer
16.The quick sort algorithm exploit design technique
A. Greedy
B. Dynamic programming
C. Divide and Conquer
D. Backtracking
17.Level of any node of a tree is
A. Height of its left subtree minus height of its right subtree B. Height of its right subtree minus height of its left subtree C. Its distance from the root
D. None of these
18.Which of the following sorting algorithms has the lowest worst case complexity?
A. Merge sort B. Bubble sort C. Quick sort
D. Selection sort
19.Given a binary tree whose inorder and preorder traversal are given by
Inorder : EICFBGDJHK Preorder : BCEIFDGHJK
The post order traversal of the above binary tree is
A. IEFCGJKHDB B. IEFCJGKHDB C. IEFCGKJHDB D. IEFCGJKDBH
Answer A
20.One can make an exact replica of a Binary Search Tree by traversing it in
A. Inorder B. Preorder C. Postorder D. Any order
Answer B
21.Leaves of which of the following trees are at the same level ?
A. Binary tree B. B-tree C. AVL-tree D. Expression tree
Answer B
22.What is the maximum number of nodes in a B-tree of order 10 of depth 3 (root at depth 0) ?
A. 111 B.999 C. 9999 D. None of the above
Answer D
23.The worst case running time to search for an element in a balanced binary search tree with n2n
elements is
A. T(nlogn) B. T(n2n) C. T(n) D. T(logn)
Answer C
24.When we say the order of a tree is M, we mean
(a) Every non-leaf node must have M subtrees
(b) Every non-leaf node must have M keys
(c) Every non-leaf node can have at most M subtrees
(d) Every non-leaf node can have at most M keys
Answer : C
25.In an arbitrary tree ( not a search tree) of order M. Its size is N, and its height is K. The computation time needed to find a data item on T is
(a) O(K*K) (b) O(M*M) (c) O(N)
(d) O(K) Answer : C
|UNIT III - DYNAMIC PROGRAMMING AND GREEDY TECHNIQUE |
|Computing a Binomial Coefficient – Warshal‟s and Floy‟s algorithm – Optimal Binary Search Trees – Knapsack Problem and Memory functions. |
|Greedy Technique– Prim‟s algorithm- Kruskal's Algorithm- Dijkstra's Algorithm-Huffman Trees. |
1.A given connected graph G is a Euler graph , if and only if all vertices of G are of
A. Same degree B .Even degree C .Odd degree D. Different degree
Answer B
2.One can convert a binary tree into its mirror image by traversing it in
A. Inorder B. Preorder C. Postorder D. Any order
Answer C
3.Graphs are represented using
A. Adjacency tree B. Adjacency linked list C. Adjacency graph D. Adjacency queue
Answer B
4.The data structure required for breadth first traversal on a graph is
A. Queue B. Stack C. Array D. Tree
Answer A
5.Tree
A. Is a bipartite graph
B. With n node contains n-1 edges
C. Is a connected graph
D. All of these
Answer D
6.If every node u in G is adjacent to every other node v in G, A graph is said to be
A. Isolated B. Complete C. Finite D. Strongly Connected
Answer B
7.Leaves of which of the following trees are at the same level ?
A. Binary tree B. B-tree C. AVL-tree D. Expression tree
Answer B
8.Let A be an adjacency matrix of a graph G. The th ij entry in the matrix K A , gives
A. The number of paths of length K from vertex Vi to vertex Vj. B. Shortest path of K edges from vertex Vi to vertex Vj.
C. Length of a Eulerian path from vertex Vi to vertex Vj.
D. Length of a Hamiltonian cycle from vertex Vi to vertex Vj.
Answer B
9. A graph in which all nodes are of equal degree is called
A. Multi graph B. Non regular graph C. Regular graph D. Complete graph
Answer C
10. The time complexity to build a heap of n elements is
A. 0(1) B. 0(lgn) C. 0(n) D. 0(nlgn)
Answer D
11.If every node u in G is adjacent to every other node v in G, A graph is said to be
A. Isolated B. Complete C. Finite
D. Strongly Connected
Answer:B
12.Level of any node of a tree is
A. Height of its left subtree minus height of its right subtree B. Height of its right subtree minus height of its left subtree C. Its distance from the root
D. None of these
13.A search technique where we keep expanding nodes with least accumulated cost so far is called
A. Hill climbing
B. Branch and bound
C. Best first
D. Divide and conquer
14.The spanning tree of connected graph with 10 vertices contains
A. 9 edges B. 11 edges C. 10 edges D.10 vertices
15.Two isomorphic graphs must have
A. Equal number of vertices
B. Same number of edges
C. Same number of vertices
D. All of the above
16.The worst time complexity of the Floyd’s algorithm is O(n3). II. The worst time complexity of the Warshall’s algorithm is O(n3).
(a) (I) is false but (II) is true
(b) (I) is true but (II) is false
(c) Both (I) and (II) are true
(d) (I) is true and (II) is not true always
(e) Both (I) and (II) are false.
Ans :Both (I) and (II) are true
17.Which of the following belongs to the algorithm paradigm?
(a) Minimum & Maximum problem
(b) Knapsack problem
(c) Selection problem
(d) Merge sort
(e) Quick sort.
Ans : Knapsack problem
18.From the following choose the one which belongs to the algorithm paradigm other than
to which others from the following belongs to.
(a) Minimum & Maximum problem
(b) Knapsack problem
(c) Selection problem
(d) Merge sort
Ans : Knapsack problem
19.Pick the correct statement(s) from the following set of statements.
II. In Prim’s algorithm, for the construction of minimal spanning tree for a graph, the selected edges always form an orchard.
III. DFS, BFS algorithms always make use of a queue, and stack respectively.
(a) Only (I) above
(b) Only (II) above
(c) Only (III) above
(d) Both (I) and (III) above
Ans : Only (I) above
20.Suppose that we have a data file containing records of famous people, and we need to build a hash table to find a record from the person's birthday. The size of the hash table is
4096. The following are hash functions which convert a birthday to an integer. Which of the following function is the best?
(a) h1( day/month/year ) = day + month + year
(b) h2( day/month/year ) = day + month*31 + year
(c) h3( day/month/year ) = (day + month*31 + year*365) mod 4096 (d) h4( day/month/year ) = (day + month*31 + year*365) mod 4093
Answer
|UNIT IV - ITERATIVE IMPROVEMENT |
|The Simplex MeFthod-The Maximum-Flow Problem – Maximm Matching in Bipartite Graphs- The Stable |
|marriage Problem. |
1.When we say the order of a tree is M, we mean
(a) Every non-leaf node must have M subtrees
(b) Every non-leaf node must have M keys
(c) Every non-leaf node can have at most M subtrees
(d) Every non-leaf node can have at most M keys
Answer : C
2.The optimal solution to a problem is a combination of optimal solutions to its sub-problems. This is known as
(a) Principleof Duality
(b) Principle of Feasibility
(c) Principle of Optimality
(d) Principle of Dynamicity.
Ans : Principle of Optimality
3.Identify the correct problem for multistage graph from the list given below.
(a) Resource allocation problem
(b) Traveling salesperson problem
(c) Producer consumer problem
(d) Barber’s problem
Ans : Resource allocation problem
4.How many edges are there in a Hamiltonian cycle if the edge cost is ‘c’ and the cost of cycle is ‘cn’
|(a)c |(b) |cn |
|(c)n |(d) |2c |
Ans :n.
5.How many minimum number of spanning trees, one can have from a given
connected graph with N nodes is having different weights for the edges.
(a)N-1 (b) One (c) 1/(N+1) 2NCN (d) 2NCN
Ans: one
|6.Prims algorithm is based on _____________ method |
|a. |Divide and conquer method |c. |Dynamic programming |
|b. |Greedy method |d. |Branch and bound |
|Ans. Greedy Method |
|7.The output of Kruskal and Prims algorithm is ________________ |
|a. |Maximum spanning tree |c. |Spanning tree |
|b. |Minimum spanning tree |d. |None of these |
Ans. Minimum spanning tree
8.In the case of Fibnocci heap the running time of Prim's algorithm is _________
a. O(E log V)
b. O(V log E)
c. O( log V)
d. O(E log E)
Ans. O(E log V)
9.If the graph is represented as an adjacency matrix then the time complexity of Kruskal's algorithm is ____________
a. O(E log V)
b. O(VlogE)
c. O(V2)
d. O(logE)
Ans. O(E log V)
10.The standard form in simplex method is used to find _________
A. Extreme points B. Feasible points C. feasible region D. Objective function
11.Maximum flow of the network is equal to _______
A. cut value B. Min Cut value C. Max cut value D. Max Flow Value
12.The diagonal of the adjacency matrix of a graph with a self loop contains ______
A. 1 B. -1 C. 0 D. Both 0 or 1
13.Extreme point theorem is used to find ________
A. Sequence adjacent points B. Optimal Solution
14.Which is not an example of iterative improvement method?
A. Greedy technique B. Stable Marriage Problem C. Simplex Method
15.For an undirected graph with n vertices and e edges, the sum of the degree of each vertex is equal to _____
A. 2n B. (2n-1)/2 C. 2e D. e2/2
|UNIT V - COPING WITH THE LIMITATIONS OF ALGORITHM POWER |
|Limitations of Algorithm Power-Lower-Bound Arguments-Decision Trees-P, NP and NP-Complete Problems--Coping with the Limitations - |
|Backtracking – n-Queens problem – Hamiltonian Circuit Problem – Subset Sum Problem-Branch and Bound – Assignment problem – Knapsack Problem |
|– Traveling Salesman Problem- Approximation Algorithms for NP – Hard Problems – Traveling Salesman problem – Knapsack problem. |
1.The number of distinct simple graphs with up to three nodes are
A. 15 B. 10 C. 7 D. 9
Answer C
2.The number of unused pointers in a complete binary tree of depth 5 is
A. 4 B. 8 C. 16 D. 32
Answer C
3. Graph Coloring is which type of algorithm design strategy
a. Backtacking c. Greedy
b. Branch and Bound d. Dynamic programming
Ans : Backtracking
4.Which is true statement in the following?
a. Kruskal’salgorithm is multiple source technique for finding MST.
b. Kruskal’s algorithm is used to find minimum spanning tree of a graph, time complexity of this algorithm is O(EV)
c. Both of above
d. Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best Tree edge) when the graph has relatively few edges )
Ans:Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best Tree edge) when the graph hasrelatively few edges )
5.Graphs are represented using
A. Adjacency tree B. Adjacency linked list C. Adjacency graph D. Adjacency queue
Answer B
Assuming P ? NP, which of the following is TRUE?
6.NP-complete = NP B. NP-completenP=theta C. NP-hard = NP D. P = NP-complete
Answer B
7.If there is an NP complete language L whose complement is in NP ,then complement of any language in NP is in
A. P B. NP C. Both A and B D. None of these
Answer B
8.Both P and NP are closed under the operation of
A. Union B. Intersection C. Concatenation D. Kleene
Answer D
9. Two isomorphic graphs must have
A. Equal number of vertices
B. Same number of edges
C. Same number of vertices
D. All of the above
10.T is a search tree of order M, its size is N, and its height is K. The computation time needed to INSERT/DELETE a data item on T is
(a) O( 1 ) (b) O( M )
(c) O( Log K ) (d) O( K )
Answer : D
11.Suppose that we have a data file containing records of famous people, and we need to build a hash table to find a record from the person's birthday. The size of the hash table is
4096. The following are hash functions which convert a birthday to an integer. Which of the following function is the best?
(a) h1( day/month/year ) = day + month + year
(b) h2( day/month/year ) = day + month*31 + year
(c) h3( day/month/year ) = (day + month*31 + year*365) mod 4096 (d) h4( day/month/year ) = (day + month*31 + year*365) mod 4093
Answer : D
12.The advantage of selecting maxmin algorithm using divide and conquer method compared to staightmaxmin algorithm is _____
|a. |Less time complexity |c. |High accuracy |
|b. |Less space complexity |d. |High time complexity |
|Ans. Less time complexity |
13.BFS is best compared to DFS in the case of ________________
a. The graph’s width is large
b. The graph’s depth is large
c. The graph consists of many nodes
d. The graph is complex
Ans. The graph’s depth is large
14. A given connected graph G is a Euler graph , if and only if all vertices of G are of
A. Same degree B .Even degree C .Odd degree D. Different degree
Answer B
15.What is the maximum number of nodes in a B-tree of order 10 of depth 3 (root at depth 0) ?
A. 111 B.999 C. 9999 D. None of the above
Answer D
16.One can convert a binary tree into its mirror image by traversing it in
A. Inorder B. Preorder C. Postorder D. Any order
Answer C
17.Graphs are represented using
A. Adjacency tree B. Adjacency linked list C. Adjacency graph D. Adjacency queue
Answer B
18.The data structure required for breadth first traversal on a graph is
A. Queue B. Stack C. Array D. Tree
Answer A
19.Graph Coloring is which type of algorithm design strategy
a. Backtacking c. Greedy
b. Branch and Bound d. Dynamic programming
Ans : Backtracking
20.A problem L is NP-complete iff L is NP-hard and
(a) L ≈ NP
(b) L α NP
(c) L ε NP
(d) L = NP
Ans : L ε NP
21.Time complexity of 4-queen problem
a. O(|V|)
b. O(|E|)
c. O(|V|+|E|)
d. O(|V2|)
Ans.O(|V|+|E|)
22.BFS is best compared to DFS in the case of ________________
a. The graph’s width is large
b. The graph’s depth is large
c. The graph consists of many nodes
d. The graph is complex
Ans. The graph’s depth is large
23.Graph Coloring is which type of algorithm design strategy
a. Backtacking c. Greedy
b. Branch and Bound d. Dynamic programming
Ans : Backtracking
24.Which of the following statements are TRUE?
(1) The problem of determining whether there exists a cycle in an undirected graph is in P. (2) The problem of determining whether there exists a cycle in an undirected graph is in NP.
(3) If a problem A is NP-Complete, there exists a non-deterministic polynomial time algorithm to solve A.
A. 1,2 and 3 B. 1 and 2 only C. 2 and 3 only D. 1 and 3 only
25.
[pic]
A. A B. B C. C D. D
Course In-charge Module Coordinator HoD
Mr.P.Suresh Babu Mrs.D.Anandhavalli Dr.R.Perumaraja
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