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7.9 MATLAB: Singular Value Decomposition LAB ACTIVITY 7.9.1: MATLAB: Singular Value Decomposition This tool is provided by a third party. Though your activity may be recorded, a page refresh may be needed to fill the banner. 0 / 1 MATLAB: Singular Value Decomposition In this activity you will find the singular value decomposition of a matrix. Consider the matrix A. A = [1 -2; 0 1; 1 0] The command svd( ) returns three matrices, namely the mxm orthogonal matrix U, the mxn "diagonal matrix S, and the nxn orthogonal matrix V, the singular value decomposition of A which satisfies A=USV' . [U, S, V] = svd(A) Verify that the appropriate product of the matrices found using the svd( ) command "results in the matrix A. checkA = U*S*V.' Use the following matrix for this activity. B = in w 8 2 4 - 8 Script Save C Reset MATLAB Documentation Enter the matrix B. 3 Use the command svd( ) to find three matrices, namely the mxm orthogonal matrix U, the mxn %diagonal matrix S, and the nxn orthogonal matrix V, of the singular value decomposition of B. 5 6 Verify that the appropriate product of the matrices found using the svd( ) command 7 %results in the matrix B. Store this product in checkB. 8 Run Script Trouble with lab