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 2022
MCQ (More than One Correct Answer)
+2
-0

Consider the following recurrence :

f(1) = 1;

f(2n) = 2f(n) $$-$$ 1, for n $$\ge$$ 1;

f(2n + 1) = 2f(n) + 1, for n $$\ge$$ 1;

Then, which of the following statements is/are TRUE?

A
f(2n $$-$$ 1) = 2n $$-$$ 1
B
f(2n) = 1
C
f(5 . 2n) = 2n + 1 + 1
D
f(2n + 1) = 2n + 1
2
GATE CSE 2021 Set 2
MCQ (Single Correct Answer)
+2
-0.66

For constants a â‰¥ 1 and b > 1, consider the following recurrence defined on the non-negative integers :

$$T\left( n \right) = a.T\left( {\frac{n}{b}} \right) + f\left( n \right)$$

Which one of the following options is correct about the recurrence T(n)?

A
If f(n) is $$\frac{n}{{{{\log }_2}(n)}}$$, then T(n) is Î¸(log2(n)).
B
If f(n) is n log2(n), then T(n) is Î¸(n log2(n)).
C
If f(n) is O(nlogb(a) - Ïµ) for some Ïµ > 0, then T(n) is Î¸(nlogb(a)).
D
If f(n) is Î¸(nlogb(a)), then T(n) is Î¸(nlogb(a))
3
GATE CSE 2021 Set 1
MCQ (Single Correct Answer)
+2
-0.67

Consider the following recurrence relation.

$$T(n) = \left\{ {\begin{array}{*{20}{c}} {T(n/2) + T(2n/5) + 7n \ \ \ if\ n > 0}\\ {1\ \ \ \ \ \ \ if\ n = 0} \end{array}} \right.$$

Which one of the following option is correct?

A
T(n) = Θ(n log n)
B
T(n) = Θ(n5/2)
C
T(n) = Θ((log n)5/2)
D
T(n) = Θ(n)
4
GATE CSE 2019
MCQ (Single Correct Answer)
+2
-0.67

There are n unsorted arrays : A1, A2, …, An. Assume that n is odd. Each of A1, A2, …, An contains n distinct elements. There are no common elements between any two arrays. The worst-case time complexity of computing the median of the medians of A1, A2, …, An is :

A
$$O\left( n \right)$$
B
$$O\left( {n\log n} \right)$$
C
$$O\left( {{n^2}\log n} \right)$$
D
$$O\left( {{n^2}} \right)$$
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