Algorithms
Complexity Analysis and Asymptotic Notations
Marks 1Marks 2
Searching and Sorting
Marks 1Marks 2
Divide and Conquer Method
Marks 1Marks 2
Greedy Method
Marks 1Marks 2
P and NP Concepts
Marks 1Marks 2
Dynamic Programming
Marks 1Marks 2
1
GATE CSE 2013
MCQ (Single Correct Answer)
+2
-0.6
Consider the following function:
int unknown(int n) {
    int i, j, k = 0;
    for (i  = n/2; i <= n; i++)
        for (j = 2; j <= n; j = j * 2)
            k = k + n/2;
    return k;
 }
The return value of the function is
A
$$\Theta ({n^2})$$
B
$$\Theta(n^2\log n)$$
C
$$\Theta(n^3)$$
D
$$\Theta(n^3\log n)$$
2
GATE CSE 2013
MCQ (Single Correct Answer)
+2
-0.6
Consider the following operation along with Enqueue and Dequeue operations on queues, where k is a global parameter.
MultiDequeue(Q){
   m = k
   while (Q is not empty and m  > 0) {
      Dequeue(Q)
      m = m - 1
   }
}
What is the worst case time complexity of a sequence of n operations on an initially empty queue?
A
$$\Theta (n)$$
B
$$Θ(n + k)$$
C
$$Θ(nk)$$
D
$$Θ(n^2)$$
3
GATE CSE 2012
MCQ (Single Correct Answer)
+2
-0.6
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)
4
GATE CSE 2009
MCQ (Single Correct Answer)
+2
-0.6
The running time of an algorithm is represented by the following recurrence relation:
$$T(n) = \begin{cases} n & n \leq 3 \\ T(\frac{n}{3})+cn & \text{ otherwise } \end{cases}$$
Which one of the following represents the time complexity of the algorithm?
A
$$\Theta(n)$$
B
$$\Theta(n \log n)$$
C
$$\Theta(n^2)$$
D
$$\Theta(n^2 \log n)$$
GATE CSE Subjects
Theory of Computation
Operating Systems
Algorithms
Digital Logic
Database Management System
Data Structures
Computer Networks
Software Engineering
Compiler Design
Web Technologies
General Aptitude
Discrete Mathematics
Programming Languages
Computer Organization