Question: Apply matrix theory to linear equations and transformations Scenario You are employed as a network engineer and have been asked to analyze a communication network

Apply matrix theory to linear equations and transformations
Scenario
You are employed as a network engineer and have been asked to analyze a communication network to determine the current data rates and
ensure that the links aren't at risk of "reaching capacity." In the following figure of the network, the sender is transmitting data at a total rate
of 100+50=150 megabits per second (Mbps). The data is transmitted from the sender to the receiver over a network of five different
routers. These routers are labeled A,B,C,D, and E . The connections and data rates between the routers are labeled as x1,x2,x3,x4, and x5.
Directions
In this project, you will analyze the communication network and solve for the unknown data rates using a variety of techniques. The system
can be modeled mathematically as a system of linear equations by writing an equation for each node/router in the network. Each of these
equations can be written by noting that the sum of inputs must equal the sum of outputs.
To complete the project, work on the problems described below. As you complete each part, show your work and carefully describe how you
arrive at your final answer. The methods and conclusions need to be clear when sharing your results with management. Any MATLAB code or
MATLAB terminal outputs you generate should be provided in your submitted document to support your answers and work.
Develop a system of linear equations for the network by writing an equation for each router (A,B,C,D, and E ). Make sure to write your
final answer as Ax=b where A is the 55 coefficient matrix, x is the 51 vector of unknowns, and b is a 51 vector of constants.
Use MATLAB to construct the augmented matrix Ab and then perform row reduction using the rref() function. Write out your reduced
matrix and identify the free and basic variables of the system.
Use MATLAB to compute the LU decomposition of A, i.e., find A=LU. For this decomposition, find the transformed set of equations
Ly=b. Solve the system of equations Ly=b for the unknown vector y.
Use MATLAB to compute the inverse of U using the inv() function.
Compute the solution to the original system of equations by transforming y into x, i.e., compute x=U-1y.
Check your answer for x1 using Cramer's Rule. Check your answer for x1 using Cramer's Rule.
Use MATLAB to compute the required determinants using the det() function. The Project One Table Template, provided in the Supporting
Materials section, shows the recommended throughput capacity of each link in the network. Put your solution for the system of
equations in the third column so it can be easily compared to the maximum capacity in the second column. In the fourth column of the
table, provide recommendations for how the network should be modified based on your network throughput analysis findings. The
modification options can be No Change, Remove Link, or Upgrade Link. In the final column, explain how you arrived at your
recommendation.
What to Submit
To complete this project, you must submit the following:
Use the provided Project One Template as the starting point for your project solution. Complete each portion of the template, run the
project, and then export your work as a single PDF file. Upload this PDF document, which should show your answers and supporting work
for the problems described above. Make sure to include explanations of your work, as well as all MATLAB code and outputs of the
computations.
Apply matrix theory to linear equations and

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