A given system of linear equations Ax = b can be solved using Gaussian elimination. For the following A's and b's, perform as indicated: Problem 1: () »-) 1 2 A1 =4 2 8 xv1= b1 = 12 4 4 Problem 2: 2 4 3 0 3 0 3 5 /2 A2 = xv2= b= 0 2 1 Script e A Save C Reset MATLAB Documentation 1 %Encode A1, b1 and x1 as the vector of unknowns. 2 A1 = 3 b1 = 4 syms 5 xv1 = 6 7 %Check the size of A, set it as m1 and n1 8 [m1,n1] = 9 10 %Augment A and b to form AM1 11 AM1 = 12 13 %Solve the Reduced Rwo Echelon of AM1. 14 RREFA1 = 15 16 %Collect the last column and set as bnew1, set the remaining elements as Anew1 17 bnew1= 18 Anew1 = 19 20 %Check if Anew is an identity matrix, if it is, bnew is the solution 21 if Anew1 =eye(m1,n1) 22 Root1 = bnew1 23 else 24 display("No Solution") 25 end 26
A given system of linear equations Ax = b can be solved using Gaussian elimination. For the following A's and b's, perform as indicated: Problem 1: () »-) 1 2 A1 =4 2 8 xv1= b1 = 12 4 4 Problem 2: 2 4 3 0 3 0 3 5 /2 A2 = xv2= b= 0 2 1 Script e A Save C Reset MATLAB Documentation 1 %Encode A1, b1 and x1 as the vector of unknowns. 2 A1 = 3 b1 = 4 syms 5 xv1 = 6 7 %Check the size of A, set it as m1 and n1 8 [m1,n1] = 9 10 %Augment A and b to form AM1 11 AM1 = 12 13 %Solve the Reduced Rwo Echelon of AM1. 14 RREFA1 = 15 16 %Collect the last column and set as bnew1, set the remaining elements as Anew1 17 bnew1= 18 Anew1 = 19 20 %Check if Anew is an identity matrix, if it is, bnew is the solution 21 if Anew1 =eye(m1,n1) 22 Root1 = bnew1 23 else 24 display("No Solution") 25 end 26
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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