Professor,Why we haven't used from numpy import allclose for this case of allclose at 6:37 like we used earlier in last lecture of Basic Matrix operations ?
https://drive.google.com/file/d/1u3HPpFYs45v4TnSD8JFaeccn6cgdlUt-/view?usp=drive_linkPlease resolve this problem professor
To practice i had created another matrix find its inverse and check whether its multiplication with it's inverse is giving an identity matrix or not. as you had said that multiplication with it's inverse gives an identity matrix so the result of allclose function has to be True but I am getting False. I am sharing the code please tell me where the mistake is?#calculating determinant of a matrixfrom numpy.linalg import detm=asmatrix(arange(1,10).reshape(3,3))print(m)print(det(m))[[1 2 3] [4 5 6] [7 8 9]] 6.66133814775094e-16from numpy.linalg import inv print(m) im=inv(m) print(im)[[1 2 3] [4 5 6] [7 8 9]] [[-4.50359963e+15 9.00719925e+15 -4.50359963e+15] [ 9.00719925e+15 -1.80143985e+16 9.00719925e+15] [-4.50359963e+15 9.00719925e+15 -4.50359963e+15]]#to check whether multiplication of a matrix with it's inverse matrix gives identity matrix or not from numpy import eye,allclose print(asmatrix(eye(3))) rs=im*m rs.shape print(rs) allclose(rs,asmatrix(eye(3)))[[1. 0. 0.] [0. 1. 0.] [0. 0. 1.]] [[ 12. 8. 8.] [-16. -8. 0.] [ 4. 0. 0.]] Out[118]: False
Could you please explain what is U and how it is calculated?
Explain the uses of U and V_conjugate functions in svd.
Can you explain how to find frobenius?
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Outline:flatten() function Example to convert a multidimensional matrix to single dimension matrix Frobenius norm of a matrix Demonstration of Frobenius norm of a matrix Inverse of a matrix Infinity norm of a matrix norm documentation Singular value decomposition svd() function smat function
flatten() function Example to convert a multidimensional matrix to single dimension matrix Frobenius norm of a matrix Demonstration of Frobenius norm of a matrix Inverse of a matrix Infinity norm of a matrix norm documentation Singular value decomposition svd() function smat function
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