Homework Answers
(4) Q4a) Find the QR factorization of the matrix 13 3 -1 1 7 -4 2...
(4) Q4a) Find the QR factorization of the matrix 13 3 -1 1 7 -4 2 1 -1 b) Test using the spectral method or suitable matrix norms, the guaranteed convergence of Gauss Jacobi method for the following system (2) 1x + 4z = 8 4y + 2z = 9 4.0 + 2y - 2z = 10
In this exercise, you will work with a QR factorization of an mxn matrix. We will proceed in the ...
In this exercise, you will work with a QR factorization of an mxn matrix. We will proceed in the way that is chosen by MATLAB, which is different from the textbook presentation. An mxn matrix A can be presented as a product of a unitary (or orthogonal) mxm matrix Q and an upper-triangular m × n matrix R, that is, A = Q * R . Theory: a square mxm matrix Q is called unitary (or orthogona) if -,or equivalently,...
2 9 11 and b (1 point) Let A -6 The QR factorization of the matrix...
2 9 11 and b (1 point) Let A -6 The QR factorization of the matrix A is given by: 2 1 6 17 äv2 3 1 1 0 3 2 3 21 V2 3 áva (a) Applying the QR factorization to solving the least squares problem Ax b gives the system: X = 0 2 3 (b) Use backsubstitution to solve the system in part (a) and find the least squares solution. x=
Implement the following simple version of QR iteration with shifts for computing the eigenvalues of a...
Implement the following simple version of QR iteration with shifts for computing the eigenvalues of a general real matrix A Repeat until convergence: 1. o an,n (use corner entry shift) C as 2. Compute QR factorization QR= A- oI 3. A RQ ol (These steps will be casy if you use a package such as MATLAB but more involved if library routine for the QR factorization or write your own.) What convergence test should you use? Test your program on...
2 3 3. Let A = 2 4 and b = 3 . Find QR factorization...
2 3 3. Let A = 2 4 and b = 3 . Find QR factorization of A. (1 1
7. Find the QR factorization of 3 6 -37 A = 14 8 6 0 4...
7. Find the QR factorization of 3 6 -37 A = 14 8 6 0 4 5
Problem 2 (a) Find the LU factorization of the following matrix, then verify your answer by...
Problem 2 (a) Find the LU factorization of the following matrix, then verify your answer by computing LU -1 4 5 a) 6 2 -4 1 -21 (b) Find the determinants of the following matrices. Show all your calculations and steps: [-1 4 51 a)6 2 -4b) 0 6 8 2 -4 3 3 2 6 8 10
linear algebra Thank you for the help. (3) Find the QR factorization of A. T 2...
linear algebra
Thank you for the help.
(3) Find the QR factorization of A. T 2 31 2 4 1,b= 1 1 1 [1] 2 1 Given: A =
# 2 and # 3 2 -6 4 -4 0 -4 6 1. Define A =...
# 2 and # 3
2 -6 4 -4 0 -4 6 1. Define A = 8 01 . Determine, by hand, the LU factorization, of A. You may of course check your answer using appropriate technology tools. Then use your result to solve the system of equations Ax b, where b--4 2 0 5 2 2. Suppose A-6 -3 133Even though A is not square, it has an LU factorization A LU, 4 9 16 17 where L and...
(4 points) 3 3 -2 Find the LU factorization of the 3 x 3 matrix A3...
(4 points) 3 3 -2 Find the LU factorization of the 3 x 3 matrix A3 5 6 -12 20 22 and use it to solve the system 13 #2 | = 1-23 -88 T1 3 5 6 12 20 22 C3
(4) Q4a) Find the QR factorization of the matrix 13 3 -1 1 7 -4 2 1 -1 b) Test using the spectral method or suitable matrix norms, the guaranteed convergence of Gauss Jacobi method for the following system (2) 1x + 4z = 8 4y + 2z = 9 4.0 + 2y - 2z = 10
In this exercise, you will work with a QR factorization of an mxn matrix. We will proceed in the way that is chosen by MATLAB, which is different from the textbook presentation. An mxn matrix A can be presented as a product of a unitary (or orthogonal) mxm matrix Q and an upper-triangular m × n matrix R, that is, A = Q * R . Theory: a square mxm matrix Q is called unitary (or orthogona) if -,or equivalently,...
2 9 11 and b (1 point) Let A -6 The QR factorization of the matrix A is given by: 2 1 6 17 äv2 3 1 1 0 3 2 3 21 V2 3 áva (a) Applying the QR factorization to solving the least squares problem Ax b gives the system: X = 0 2 3 (b) Use backsubstitution to solve the system in part (a) and find the least squares solution. x=
Implement the following simple version of QR iteration with shifts for computing the eigenvalues of a general real matrix A Repeat until convergence: 1. o an,n (use corner entry shift) C as 2. Compute QR factorization QR= A- oI 3. A RQ ol (These steps will be casy if you use a package such as MATLAB but more involved if library routine for the QR factorization or write your own.) What convergence test should you use? Test your program on...
2 3 3. Let A = 2 4 and b = 3 . Find QR factorization of A. (1 1
7. Find the QR factorization of 3 6 -37 A = 14 8 6 0 4 5
Problem 2 (a) Find the LU factorization of the following matrix, then verify your answer by computing LU -1 4 5 a) 6 2 -4 1 -21 (b) Find the determinants of the following matrices. Show all your calculations and steps: [-1 4 51 a)6 2 -4b) 0 6 8 2 -4 3 3 2 6 8 10
linear algebra
Thank you for the help.
(3) Find the QR factorization of A. T 2 31 2 4 1,b= 1 1 1 [1] 2 1 Given: A =
# 2 and # 3
2 -6 4 -4 0 -4 6 1. Define A = 8 01 . Determine, by hand, the LU factorization, of A. You may of course check your answer using appropriate technology tools. Then use your result to solve the system of equations Ax b, where b--4 2 0 5 2 2. Suppose A-6 -3 133Even though A is not square, it has an LU factorization A LU, 4 9 16 17 where L and...
(4 points) 3 3 -2 Find the LU factorization of the 3 x 3 matrix A3 5 6 -12 20 22 and use it to solve the system 13 #2 | = 1-23 -88 T1 3 5 6 12 20 22 C3
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