This is absolutely everything included for this assignment. My issue is I'm stuck on "develop a system of linear equations" I've seen the answers, but I don't know how they came up with the answer. It is completely flying over my head.

Scenario You are employed as a network engineer and have been asked to analyze a Sender B(q) Receiver communication network to determine the current data rates and ensure that 100 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 50 C (q) 120 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, 23, "4, and $5. 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. 1. 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 5 x 5 coefficient matrix, x is the 5 x 1 vector of unknowns, and b is a 5 x 1 vector of constants. 2. Use MATLAB to construct the augmented matrix [A ] and then perform row reduction using the rref() function. Write out your reduced matrix and identify the free and basic variables of the system. 3. 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. 4. Use MATLAB to compute the inverse of Uusing the inv() function. 5. Compute the solution to the original system of equations by transforming y into x, i.e., compute x = U-ly. 6. Check your answer for 1 using Cramer's Rule. 7. 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.Southern New Hampshire University MAT 350 Project One Table Template Complete this template by replacing the bracketed text with the relevant information. Network Recommended Solution Recommendation Explanation Link Capacity (Mbps) X1 60 [Insert text] [Insert text] [Insert text] X2 50 [Insert text] [Insert text] [Insert text] X3 100 [Insert text] [Insert text] [Insert text] X4 100 [Insert text] [Insert text] [Insert text] X5 50 [Insert text] [Insert text] [Insert text]