rx2 has 0 coefficient in the first equation
rx2 has 0 coefficient in the first equation QUESTION 2 Consider the linear system 11 +...
QUESTION 2 Consider the linear system Ti 0.521 + 21 2 0.5x2 + 13 0.25.13 23 0.2 -1.425 2 whose solution is (0.9,-0.8, 0.7). (a) Determine whether the coefficient matrix is strictly diagonally dominant. (5) (b) Approximate the solution of the system by performing two iterations of the Gauss-Seidel algorithm, using (10) x(0) - (0,0,0)' as the initial guess. (c) Approximate the solution of the system using one iteration of the SOR scheme, with w = 0.7 and (5) x(0)...
QUESTION 2 Consider the linear system T 0.50 + 0.2 -1.425 12 0.5x2 + 0.25.73 23 whose solution is (0.9,-0.8,0.7). (a) Determine whether the coefficient matrix is strictly diagonally dominant. (5) (b) Approximate the solution of the system by performing two iterations of the Gauss-Seidel algorithm, using (10) x(0) = (0,0,0)' as the initial guess. (c) Approximate the solution of the system using one iteration of the SOR scheme, with w = 0.7 and (5) x) = (0,0,0) [20]
QUESTION 2 Consider the linear system 11 0.50 + Ii 22 0.579 + 23 0.2533 13 0.2 -1.425 2 whose solution is (0.9,-0.8.0.7). (a) Determine whether the coefficient matrix is strictly diagonally dominant. (5) (b) Approximate the solution of the system by performing two iterations of the Gauss-Seidel algorithm, using (10) x(0) = (0,0,0) as the initial guess. (c) Approximate the solution of the system using one iteration of the SOR scheme, with w x() = (0,0,0) = 0.7 and...
QUESTION 2 i 0.2 -1.425 2 Consider the linear system 13 0.52 + 22 0.25.13 = Ii 0.522 + 23 whose solution is 0.9,-0.8,0.7). (a) Determine whether the coefficient matrix is strictly diagonally dominant. (5) (b) Approximate the solution of the system by performing two iterations of the Gauss-Seidel algorithm, using (10) x() = (0,0,0)* as the initial guess. (c) Approximate the solution of the system using one iteration of the SOR scheme, with w = 0.7 and (5) x(0)...
Consider the linear system 11 0.5.01 21 + 12 0.5.22 + 13 0.25.13 13 0.2 -1.425 2 whose solution is (0.9,-0.8, 0.7). (b) Approximate the solution of the system by performing two iterations of the Gauss-Seidel algorithm, using (10) (0) = (0,0,0)' as the initial guess. (c) Approximate the solution of the system using one iteration of the SOR scheme, with w = 0.7 and (5) x() = (0,0,0)
numerical analysis QUESTION 2 Consider the linear system 21 0.52 21 + 22 23 0.2533 23 0.2 -1.425 2 0.5.22 + whose solution is (0.9, -0.8, 0.7). (a) Determine whether the coefficient matrix is strictly diagonally dominant. (5)
Rearrange the equations to form a strictly diagonally dominant system. Use the Jacobi iterative method and Gauss-Seidel methods with an initial vector (0, 0, 0) and 10 iterations to approximate the solution of the system. Solve the system directly and compare your results. X - 8Y - 2Z = 1 X + Y + 5Z = 4 3X - Y +Z = -2
Consider the linear system 5x1 - 21 + X1 - 22 + x3 = 1 5.22 - 23 = 2 22 5 5x3 = 3 (a) Discuss the convergence of the iterative solutions of this system generated by the Jacobi and Gauss-Seidel methods, by considering their iterative matrices. (b) If both methods converge, which one of them converges faster to the exact solution of this system? (c) Starting with the initial approximation x(0) = [0,0,0], find the number of iterations...
Tutorial 4. Linear systems of algebraic equations 2 October, 4-5 pm in FN2 (Q1) Consider this linear system of equations a. 1 p -2 0 0 0 1 0 q 0 4 2r -2 0 -1 0 4s Order the four equations such that the system of equations can be solved efficiently by Gauss elimination b. Solve the system by Gauss elimination (Q2) -1] 6 Given the linear system of equations A5 with [A| solve for i 10 and by...
just 1,2,4 Problem 1 Consider the linear system of equations Ax = b, where x € R4X1, and A= 120 b = and h= 0.1. [2+d -1 0 0 1 1 -1 2+d -1 0 h2 0 -1 2 + 1 Lo 0 -1 2+d] 1. Is the above matrix diagonally dominant? Why 2. Use hand calculations to solve the linear system Ax = b with d=1 with the following methods: (a) Gaussian elimination. (b) LU decomposition. Use MATLAB (L,...