This simple computing exercise will take you into the fascinating world of scientific computing and machine learning. I assure you that you will be surprised and puzzled by what your numerical results. I Apply the Gauss-Seidel method (xm-1 → xm) a11xf" + a12X" a21 xf" + a22 X" a31 X" + a32 X" „m-1 + a13X3 ,m-1 = bi m-13b2 + a23X3 %3D vm %3D m + a33 X" = b3 to the solution of the nearly singular linear system of equation (A, + €l)x = b (for small e > 0) 1 -1 () Ao = -1 2 b = E R(Ao), -1 -1 E ker(Ao). -1 1 (Note that A, is singular and A, e = 0.) Given x° = b, please fill in the following table for the smallest m satisfying || Axm - b|| < 10-8 1 10-1 10-2 10-3 10-4 10-5 10-6 10-7 0 [singular case] 10-8
This simple computing exercise will take you into the fascinating world of scientific computing and machine learning. I assure you that you will be surprised and puzzled by what your numerical results. I Apply the Gauss-Seidel method (xm-1 → xm) a11xf" + a12X" a21 xf" + a22 X" a31 X" + a32 X" „m-1 + a13X3 ,m-1 = bi m-13b2 + a23X3 %3D vm %3D m + a33 X" = b3 to the solution of the nearly singular linear system of equation (A, + €l)x = b (for small e > 0) 1 -1 () Ao = -1 2 b = E R(Ao), -1 -1 E ker(Ao). -1 1 (Note that A, is singular and A, e = 0.) Given x° = b, please fill in the following table for the smallest m satisfying || Axm - b|| < 10-8 1 10-1 10-2 10-3 10-4 10-5 10-6 10-7 0 [singular case] 10-8
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.2: Direct Methods For Solving Linear Systems
Problem 2CEXP
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