def add_edge(self, u, v): if 0 <= u < self.size and 0 <= v < self.size: self.adj_matrix[u][v] = 1 self.adj_matrix[v][u] = 1
Question
add_edge
Method Implementation
def add_edge(self, u, v):
if 0 <= u < self.size and 0 <= v < self.size:
self.adj_matrix[u][v] = 1
self.adj_matrix[v][u] = 1
Solution
This is a Python function named add_edge
that belongs to a class (probably a Graph class). This function is used to add an edge between two nodes in a graph. Here's a step-by-step explanation:
-
The function
add_edge
takes three parameters:self
,u
, andv
.self
is a default parameter in Python class methods and refers to the instance of the class,u
andv
are probably the nodes between which an edge is to be added. -
The
if
statement checks whetheru
andv
are within the valid range. The valid range is between 0 and the size of the graph (exclusive). Ifu
orv
is not within this range, the function will not proceed to add an edge. -
If
u
andv
are within the valid range, the function proceeds to add an edge between these nodes. In the adjacency matrix representation of a graph, an edge between nodesu
andv
is represented by settingself.adj_matrix[u][v]
andself.adj_matrix[v][u]
to 1. This is because the graph is undirected, so an edge fromu
tov
is the same as an edge fromv
tou
. -
The function does not return any value. It modifies the adjacency matrix of the graph in-place.
Similar Questions
The "Addition" operation can only add a single edge between two vertices.State true or false.a)Falseb)True
The column sum in an incidence matrix for a directed graph having no self loop is __________?Group of answer choices012equal to the number of edges
Time complexity to check if an edge exists between two vertices would be ___________?Group of answer choicesO(E)O(V*V)O(V+E)O(1)
A graph having an edge from each vertex to every other vertex is called a ___________
Time complexity to find if there is an edge between 2 particular vertices is _________?Group of answer choicesO(V)O(E)O(1)O(V+E)
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.