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Question 11 In Exercises 9-12, show that the Gauss-Seidel method diverges for the given system using...
need help on number 13 Exercises 11-16. Represent each linear system in marrix form. Solve by Gauss elimination when the system is consistent and cross-check by substituting your solution set back into all equations. Interpret the solution geometrically in terms planes in R3. of 2x1 +3x2 x3 = 1 4x1 7x2+ 3 3 11. 7x1 +10x2 4x3 = 4 3x1 +3x2+x3 =-4.5 12. x1+ x2+x3 = 0.5 2x-2x2 5.0 x+2x2 3x3 1 3x1+6x2 + x3 = 13 13. 4x1 +8x2...
helpp I'm this exam 2) Use the Gauss-Seidel method to solve the following system until the percentage relative error is below 0.5% -2x1 + 2x2 – X3 = 25 - 3x1 - 6x2 + 2x3 = -40.5 X1 + x2 + 5x3 = -25.5 a) Record the table-style values. (Iteration, X1, X2, X3, Error X1, Error X2, Error X3). х iteration error X1 x2 x3
Solve the following system of equations using Gauss-Seidel method. 3x1 +6x2 +2x3 = 9 12% + 7x2 +3x,-17 2x, +7x2 -11x, 49 Conduct 3 iterations. Calculate the maximum absolute relative approximate error at the end of each iteration, and Choose [x, ]-l 3 5las your initial guess.
Using the Gauss-Seidel Method to solve the equations in the same order listed below with an initial guess of x1 = X2 = X3 = 1, what is the estimated value of x2 after 1 iteration? -8x1 + x2 - 2x3 = -20 2x1 - 6x2 - x3 = -38 -3x1 - x2 + 7x3 = -34 0 6.50 O 6.96 0 100 0 2.38
Excel Use Simplex method and Exel To solve the following LPPs. Maximize Maximize P-3x + x2 subject to the constraints x1 + x2 = 2 2x) + 3x2 s 12 3x + = 12 x 20 x220 P = 5x1 + 7x2 subject to the constraints 2xy + 3x2 = 12 3x + x2 = 12 x 20 *2 2 0 Maximize Maximize P = 2x2 + 4x2 + x3 subject to the constraints -*1 + 2x2 + 3x3 5...
In matlab, what is the code for the problem. (a) use the Gauss-Seidel method to solve the following system until the percent relative error falls below s a. 5%. 10x1 + 2x2-x,-27 3x1 -6x2 + 2x3 61.5 25x321.5 b. (b) write an M-file to implement the Gauss-Seidel method using the above system as a test case (a) use the Gauss-Seidel method to solve the following system until the percent relative error falls below s a. 5%. 10x1 + 2x2-x,-27 3x1...
Solve the system of linear equations using the Gauss-Jordan elimination method. 3x1 2x2X316 x1 + 2x2 + 2x3 = 12 (X1, X2, X3) =
Use the Gaussian elimination method to solve each of the following systems of linear equations. In each case, indicate whether the system is consistent or inconsistent. Give the complete solution set, and if the solution set is infinite, specify three particular solutions. 1-5x1 – 2x2 + 2x3 = 14 *(a) 3x1 + x2 – x3 = -8 2x1 + 2x2 – x3 = -3 3x1 – 3x2 – 2x3 = (b) -6x1 + 4x2 + 3x3 = -38 1-2x1 +...
The exercise given above must be done using Gauss Seidel. This must contain an input and an output. The exercise that is given must be done using the method of Gauss Seidel. It must be tested with matlab. It must contain the input and output. 6 5 - x € 4 CS3010_HW1_Wl15.pdf x + V 7 0 0 file:///C:/Users/Jean/Downloads/CS3010_HW1_W115.pdf of 11 | = Contents o - + Q Fit to page ID Page view | All Read aloud L Add...
3 Linear systems 18. Solve the linear system of equations using the Naive Gauss elimination method x,+x: + x) = 1 +2x, +4x1 x 19. Solve the linear system of equations using the Gauss elimination method with partial pivoting 12x1 +10x2-7x3=15 6x, + 5x2 + 3x3 =14 24x,-x2 + 5x, = 28 20. Find the LU decomposition for the following system of linear equations 6x, +2x, +2, 2 21. Find an approximate solution for the following linear system of equations...