Question: This needs to be done in MatLab If someone can help me that would be fantastic. X = 0 Consider the following system of non-linear
This needs to be done in MatLab
If someone can help me that would be fantastic.

X = 0 Consider the following system of non-linear equations: fi(x,y) == sin(xy) - ()- fz(x,y) = (1-3) ce exy - 3e*x = 0 210 + 11 a. Use the ezplot command to plot the two equations in the same figure. Plot must show all real roots. b. Using the plot, determine initial guesses for each of the real root of the system of non- linear equations. c. Evaluate each real root using Newton-Raphson Method. The following are the requirement for parts d 1. All codes must use the following stopping criteria until an accuracy of at least 8 significant figures is reached for both x and y. Approximate Percent Relative Error x = *new Xold * 100% Xnew Approximate Percent Relative Error y = Ynew - Yold * 100% Ynew 2. Initial values of x and y must be entered by the user. (Hint: Use input command) 3. Display the results using fprintf for each root. Using Newton-Raphson Method, the root is located at x = ### and y = ### after ## iterations, yielding a relative percent error ### X = 0 Consider the following system of non-linear equations: fi(x,y) == sin(xy) - ()- fz(x,y) = (1-3) ce exy - 3e*x = 0 210 + 11 a. Use the ezplot command to plot the two equations in the same figure. Plot must show all real roots. b. Using the plot, determine initial guesses for each of the real root of the system of non- linear equations. c. Evaluate each real root using Newton-Raphson Method. The following are the requirement for parts d 1. All codes must use the following stopping criteria until an accuracy of at least 8 significant figures is reached for both x and y. Approximate Percent Relative Error x = *new Xold * 100% Xnew Approximate Percent Relative Error y = Ynew - Yold * 100% Ynew 2. Initial values of x and y must be entered by the user. (Hint: Use input command) 3. Display the results using fprintf for each root. Using Newton-Raphson Method, the root is located at x = ### and y = ### after ## iterations, yielding a relative percent error ###
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
