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Problem 3 : If there is ever a decision between multiple neighbor nodes in the BFS or DFS algorithms, assume we always choose the letter

Problem 3: If there is ever a decision between multiple neighbor nodes in the BFS or DFS algorithms, assume we always choose the letter in alphabetical order. a) Consider the following adjacency matrix.
A
B
C
D
E
F
G
H
A
0
1
1
1
0
10
0
0
0
B
1
0
1
0
1
10
1
0
0
C
1
1
0
1
0
10
0
0
1
D
1
0
1
0
0
0
0
0
0
E
0
1
0
10
0
0
0
1
1
F
0
0
0
0
0
0
1
1
0
G
0
1
0
0
0
1
0
1
0
H
0
0
0
0
1
1
1
0
1
0
0
1
0
1
0
0
1
0
a.1) Draw the graph that is represented by the matrix.
a.2) In what order will the nodes be visited using Breadth First Search? In what order will the nodes be visited using Depth First Search?
b) If you have the 0/1 adjacency matrix of a graph, and you take the matrix to the Nth power, then the (i,j)th entry of the result tells how many paths of length N there are from vertex i to vertex j (here the length is measured in number of edges traversed). For example, in a) according to the adjacency matrix there is a path of length 1 edge between vertices A and B.
A
B
C
D
E
F
G
A
0
1
1
1
0
0
0
m
1
0
1
0
0
10
1
C
1
1
0
1
0
1
0
D 1
0
1
0
1
0
0
E
0
0
0
1
0
1
0
F
0
0
1
0
1
0
0
G
0
1
0
0
0
0
0
Let G =(V,E) be an undirected graph. A triangle in G is a cycle consisting of exactly three vertices (or, equivalently, three edges). Suppose that G is represented as an adjacency matrix. Give an algorithm to determine whether G contains any triangle in O(nlog27) worst-case time.
c) Using matrix multiplications, find all the triangles in the graph, represented by the following adjacency matrix.

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