# Project One Template MAT350: Applied Linear Algebra

CompetencyIn this project, you will demonstrate your mastery of the following competency:
Apply matrix theory to linear equations and transformations
ScenarioYou 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 , , , , and .
DirectionsIn 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 where is the coefficient matrix, is the vector of unknowns, and is a vector of constants.
Use MATLAB to construct the augmented matrix 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 , i.e., find . For this decomposition, find the transformed set of equations . Solve the system of equations for the unknown vector .
Use MATLAB to compute the inverse of using the inv() function.
Compute the solution to the original system of equations by transforming into , i.e., compute .