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Last Updated Sep 27, 2025
Revision notes with simplified explanations to understand Networks & Matrices quickly and effectively.
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A network is a graph where edges can represent connections (e.g., roads, wires) and weights on edges often represent distances, costs, or capacities. Matrices provide a compact way to represent networks mathematically.
The adjacency matrix represents the connections between vertices in a network.
For a graph with vertices
Edges:
The weighted matrix includes weights (e.g., distances, costs) instead of simple binary values.
if no edge exists.
For a graph with :
Given the matrix:
Steps to Draw the Network:
For the graph with:
The weighted matrix is:
Given:
Steps:
Network:
Given the graph:
Steps:
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