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MCQ

Which of these adjacency matrices represents a simple graph?

[ [1, 0, 0], [0, 1, 0], [0, 1, 1] ]

[ [1, 1, 1], [1, 1, 1], [1, 1, 1] ]

[ [0, 0, 1], [0, 0, 0], [0, 0, 1] ]

[ [0, 0, 1], [1, 0, 1], [1, 0, 0] ]

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Given an adjacency matrix A = [ [0, 1, 1], [1, 0, 1], [1, 1, 0] ], how many ways are there in which a vertex can walk to itself using 2 edges.

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Which of the following is a HyperGraph, where V is the set of vertices, E is the set of edges?

V = {v1, v2, v3} E = {e1, e2} = {{v2, v3} {v1, v3}}

V = {v1, v2} E = {e1} = {{v1, v2}}

V = {v1, v2, v3} E = {e1, e2, e3} = {{v2, v3}{v3, v1}{v2, v1}}

All of the mentioned

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What can be the applications of Breadth First Search?

Finding shortest path between two nodes

Finding bipartiteness of a graph

GPS navigation system

All of the mentioned

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Regarding implementation of Breadth First Search using queues, what is the maximum distance between two nodes present in the queue? (considering each edge length 1)

Can be anything

At most 1

Insufficient Information

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Which method of traversal does not use stack to hold nodes that are waiting to be processed?

Dept First

D-search

Breadth first

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