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Consider the following three sets of equations.
a) Write all of the above sets of equations in the matrix format and identify the sets that you cannot solve by using an iterative method such as Jacobi and/or Gauss-Seidel method. Show the details of how you decide that the method will not converge for the identified set.
b) If there is any set in the above three that will converge, select that (or any one if more than one exists) and manually show as many steps as you need for the Jacobi Method to achieve an absolute approximate relative error level for each variable below 5%.
c) Using the same set of equations that you used in b), manually show as many steps as you need for the Gauss-Seidel method to obtain the absolute approximate relative error level for each variable below 5%. While following Gauss-Seidel method steps, describe where you are doing different from that you did in case of the Jacobi method.
d) Consider the number of steps required in Jacobi Method and in Gauss-Seidel method to achieve the same quality (in terms of absolute approximate relative error to be below 5%) solutions. Which method is more efficient in the number of steps? Can you explain why that method is more efficient than the other?
It turns out that since you've become experts on rating clothing, Acme Clothing Company has hired you to rate their clothes. Clothes are now represented as structures instead of vectors with the fields (all of which are numbers between 0 and 5): C..
Write a program to compute A. Test it with P = $55,000 and interest rate of 6.6% (i = 0.066). Compute results for n = 1, 2, 3, 4, and 5 and display the results as a table with headings and columns for n and A
The body fat percentage (BFP) of a person can be estimated by the formula BFP= 1.2xBMI+0.23xAGE -10.8xGEnder-0.54 where BMI is the body mass index, given by BMI = 703 W/H^2, in which W is the weight in pounds and H is the height in inches
Using ML write a function that takes a list of integers as argument and returns a pair consisting of the sum of the even position and the sum of the odd positions of the list.
assemble 1,000 bolt + hole combinations. The bolts have a mean diameter of 1.000 cm, normally distributed with standard deviation of 0.010 cm. The holes have a mean diameter of 1.030 cm, normally distributed with standard deviation of 0.015 cm.
code to implement linear Support vector machine to classify data (without using matlab built in function).
Compute the economy sized SVD of the reshaped A matrix.
To design a "custom" controller to reduce the vibrations of the seat and a PID controller to reduce the vibration of the seat
In case the problem in the code I want you to modify it give the correct temperature.
Find a general solution of the following ordinary differential equations and find the general solution of the following ordinary differential equation
Create the graph, which contains a piecewise function where a line exists in the first interval, a parabola in the second interval, and the sine function in the third interval.
write a program that gives the first ten numbers of the sequence of pseudorandom numbers
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