## Number of Branches in any Graph Solution

STEP 0: Pre-Calculation Summary
Formula Used
Simple Graph Branches = Simple Graph Links+Nodes-1
b = L+N-1
This formula uses 3 Variables
Variables Used
Simple Graph Branches - Simple Graph Branches refers to connecting links between the edges of a simple graph.
Simple Graph Links - Simple Graph Links refers to the branches of co-tree, i.e., those elements of the connected graph that are not included in the tree links and forms a sub graph.
Nodes - Nodes is defined as the junctions where two or more elements are connected.
STEP 1: Convert Input(s) to Base Unit
Simple Graph Links: 3 --> No Conversion Required
Nodes: 6 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
b = L+N-1 --> 3+6-1
Evaluating ... ...
b = 8
STEP 3: Convert Result to Output's Unit
8 --> No Conversion Required
8 <-- Simple Graph Branches
(Calculation completed in 00.004 seconds)
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## Credits

Created by Aman Dhussawat
GURU TEGH BAHADUR INSTITUTE OF TECHNOLOGY (GTBIT), NEW DELHI
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## < 15 Circuit Graph Theory Calculators

Average Path Length between Connected Nodes
Average Path Length = ln(Nodes)/ln(Average Degree)
Number of Branches in Forest Graph
Forest Graph Branches = Nodes-Forest Graph Components
Number of Branches in any Graph
Simple Graph Branches = Simple Graph Links+Nodes-1
Number of Links in any Graph
Simple Graph Links = Simple Graph Branches-Nodes+1
Number of Nodes in any Graph
Nodes = Simple Graph Branches-Simple Graph Links+1
Average Degree
Average Degree = Node Connection Probability*Nodes
Rank for Incidence Matrix using Probability
Matrix Rank = Nodes-Node Connection Probability
Number of Branches in Complete Graph
Complete Graph Branches = (Nodes*(Nodes-1))/2
Number of Graphs given Nodes
Number of Graph = 2^(Nodes*(Nodes-1)/2)
Spanning Tress in Complete Graph
Spanning Trees = Nodes^(Nodes-2)
Number of Maxterms and Minterms
Total Minterms/ Maxterms = 2^Number of Input Variables
Maximum Number of Edges in Bipartite Graph
Bipartite Graph Branches = (Nodes^2)/4
Number of Branches in Wheel Graph
Wheel Graph Branches = 2*(Nodes-1)
Rank of Incidence Matrix
Matrix Rank = Nodes-1
Rank of Cutset Matrix
Matrix Rank = Nodes-1

## Number of Branches in any Graph Formula

Simple Graph Branches = Simple Graph Links+Nodes-1
b = L+N-1

## What are branches ?

Branches are the connections between nodes. A branch is an element (resistor, capacitor, source, etc.). The number of branches in a circuit is equal to the number of elements.

## How to Calculate Number of Branches in any Graph?

Number of Branches in any Graph calculator uses Simple Graph Branches = Simple Graph Links+Nodes-1 to calculate the Simple Graph Branches, The Number of Branches in any graph formula gives the number of links of a co tree. Simple Graph Branches is denoted by b symbol.

How to calculate Number of Branches in any Graph using this online calculator? To use this online calculator for Number of Branches in any Graph, enter Simple Graph Links (L) & Nodes (N) and hit the calculate button. Here is how the Number of Branches in any Graph calculation can be explained with given input values -> 8 = 3+6-1.

### FAQ

What is Number of Branches in any Graph?
The Number of Branches in any graph formula gives the number of links of a co tree and is represented as b = L+N-1 or Simple Graph Branches = Simple Graph Links+Nodes-1. Simple Graph Links refers to the branches of co-tree, i.e., those elements of the connected graph that are not included in the tree links and forms a sub graph & Nodes is defined as the junctions where two or more elements are connected.
How to calculate Number of Branches in any Graph?
The Number of Branches in any graph formula gives the number of links of a co tree is calculated using Simple Graph Branches = Simple Graph Links+Nodes-1. To calculate Number of Branches in any Graph, you need Simple Graph Links (L) & Nodes (N). With our tool, you need to enter the respective value for Simple Graph Links & Nodes and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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