Approximate solutions to the following linear systems Ax = b to within I0-5 in the norm

Approximate solutions to the following linear systems Ax = b to within I0-5 in the norm. (i) 4, a, , = 1, when 0, when j i and i 1,2,... ,16, + 1 and / = 1,2,3,5,6,7,9, 10, 11, 13, 14, 15, - 1 and / =2,3,4,6,7,8, 10, 11, 12, 14, 15, 16, + 4and/ = 1,2,... , 12, 4 and / = 5, 6,... ,16, J = J = j = j = otherwise and a. c. d. b = (1.902207, 1.051143, 1.175689,3.480083,0.819600. -0.264419, -0.412789, 1.175689,0.913337,-0.150209,-0.264419, 1.051143, 1.966694, 0.913337, 0.819600, 1.902207)' (ii) 'i.J < 1, when J - i 1 and i j i \ and i and (iii) 4, when j i and i 1,2,... , 25, 1,2,3,4, 6,7.8,9, 11, 12, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 2,3,4,5,7,8,9, 10, 12, 13, 14, 15, 17, 18, 19, 20. 22, 23,24, 25, j = i + 5 and i = 1,2,... , 20. j i 5 and / = 6, 7,... . 25, 0, otherwise b = (1,0,-1,0,2, 1.0. -1.0,2, 1,0, -1,0,2, 1,0, -1,0,2, 1,0, -1,0,2)' 2i, when j = i and / = 1, 2,... , 40, /./ = / +I andi = 1,2,... ,39, 1, when < ^ y = / I and i =2,3,... , 40, 0, otherwise CliJ = and hi 1.5/ - 6, for each i 1.2,... ,40 Use the Jacobi method. b. Use the Gauss-Seidel method. Use the SOR method with co 1.3 in (i), co 1.2 in (ii), and co 1.1 in (iii). Use the conjugate gradient method and preconditioning with