Problem 1: Let 1 -1 1 1/4 -1/2 1 A = 1 1/4 -1/2 1 1 1 1 Part I: Find a basis of orthonormal vectors for Range(A) using the Gram-Schmidt orthogonalization process. Part II: From your calculations of Part I, find a QR factorization of A where the columns of Q are orthonormal vectors and R is an upper triangular matrix. Part III: Solve the least square problem Ar = b where b = [1 1/2 1 1/2 1]". The QR factorization of Part II can be used for this. Is the solution that you determined in Part III, unique, or are there other possible solutions of the least square problem? Give a brief explanation for your answer.

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Problem 1: Let
1
-1
1
1/4 -1/2 1
A =
1
1/4 -1/2 1
1
1
1
Part I: Find a basis of orthonormal vectors for Range(A) using the Gram-Schmidt
orthogonalization process.
Part II: From your calculations of Part I, find a QR factorization of A where the
columns of Q are orthonormal vectors and R is an upper triangular matrix.
Part III: Solve the least square problem Ar = b where b = [1 1/2 1 1/2 1]". The
QR factorization of Part II can be used for this.
Is the solution that you determined in Part III, unique, or are
there other possible solutions of the least square problem? Give a brief explanation
for your answer.
Transcribed Image Text:Problem 1: Let 1 -1 1 1/4 -1/2 1 A = 1 1/4 -1/2 1 1 1 1 Part I: Find a basis of orthonormal vectors for Range(A) using the Gram-Schmidt orthogonalization process. Part II: From your calculations of Part I, find a QR factorization of A where the columns of Q are orthonormal vectors and R is an upper triangular matrix. Part III: Solve the least square problem Ar = b where b = [1 1/2 1 1/2 1]". The QR factorization of Part II can be used for this. Is the solution that you determined in Part III, unique, or are there other possible solutions of the least square problem? Give a brief explanation for your answer.
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