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 2006
MCQ (Single Correct Answer)
+2
-0.6
Consider the following graph: GATE CSE 2006 Algorithms - Greedy Method Question 33 English Which one of the following cannot be the sequence of edges added, in that order, to a minimum spanning tree using Kruskal’s algorithm?
A
$$(a-b),(d-f),(b-f),(d-c),(d-e)$$
B
$$(a-b),(d-f),(d-c),(b-f),(d-e)$$
C
$$(d-f),(a-b),(d-c),(b-f),(d-e)$$
D
$$(d-f),(a-b),(b-f),(d-e),(d-c)$$
2
GATE CSE 2004
MCQ (Single Correct Answer)
+2
-0.6
Suppose we run Dijkstra’s single source shortest-path algorithm on the following edge-weighted directed graph with vertex P as the source.
GATE CSE 2004 Algorithms - Greedy Method Question 34 English In what order do the nodes get included into the set of vertices for which the shortest path distances are finalized?
A
$$P,Q,R,S,T,U$$
B
$$P,Q,R,U,S,T$$
C
$$P,Q,R,U,T,S$$
D
$$P,Q,T,R,U,S$$
3
GATE CSE 2003
MCQ (Single Correct Answer)
+2
-0.6
What is the weight of a minimum spanning tree of the following graph? GATE CSE 2003 Algorithms - Greedy Method Question 18 English
A
29
B
31
C
38
D
41
4
GATE CSE 2003
MCQ (Single Correct Answer)
+2
-0.6
Let G=(V,E) be an undirected graph with a subgraph G1=(V1,E1). Weights are assigned to edges of G as follows. $$$w(e) = \begin{cases} 0 \text{, if } e \in E_1 \\1 \text{, otherwise} \end{cases}$$$ A single-source shortest path algorithm is executed on the weighted graph (V,E,w) with an arbitrary vertex v1 of V1 as the source. Which of the following can always be inferred from the path costs computed?
A
The number of edges in the shortest paths from v1 to all vertices of G
B
G1 is connected
C
V1 forms a clique in G
D
G1 is a tree
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