Program (in a Python function) a LU factorization algorithm (without using (mxm) pivoting) for a matrix A. The factorization is obtained by elimination steps k= 1,...,m - 1 so that -muz Av i=k+1,...,m and j=k,...,m (m) When k = m - 1, A, is upper where the multipliers mi, are given by mik = (m) triangular, that is, U₁= A. The lower triangular matrix is obtained using the multipliers mix, that is Lijmij Vi > j, Li,i = 1, and Lij=0 Vi

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PYTHON -LU factorization 

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Program (in a Python function) a LU factorization algorithm (without using
(mxm)
pivoting) for a matrix A. The factorization is obtained by elimination steps
k=1,...,m- 1 so that
V
i=k+1,...,m and j=k,...,m
where the multipliers mi,k are given by mi, k =
When k = m - 1, Am), , is upper
triangular, that is,U₁,j = A). The lower triangular matrix is obtained using the
multipliers mi,k, that is Lij = mij V i > j, Li,i = 1, and Lij =ij.
(k)
3kk
Transcribed Image Text:Program (in a Python function) a LU factorization algorithm (without using (mxm) pivoting) for a matrix A. The factorization is obtained by elimination steps k=1,...,m- 1 so that V i=k+1,...,m and j=k,...,m where the multipliers mi,k are given by mi, k = When k = m - 1, Am), , is upper triangular, that is,U₁,j = A). The lower triangular matrix is obtained using the multipliers mi,k, that is Lij = mij V i > j, Li,i = 1, and Lij =ij. (k) 3kk
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Print the diagonal entry of the U factor with smallest absolute value. Compute the number of non-zero pivots in U.

(The solution of smallest diagonal element magnitude = 5.29276e-04.  Please show steps to attain solution.)

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Follow-up Question

 Print the diagonal entry of the U factor with smallest absolute value. Compute the number of non-zero pivots in U.

The solution is given as :

 

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