how to calculate the svd decomposition of a matrix in matlab

To calculate the SVD decomposition of a matrix in MATLAB, you can use the built-in svd function. Here's an example:

main.m
A = [1 2 3; 4 5 6; 7 8 9]; % example matrix
[U, S, V] = svd(A); % perform SVD decomposition
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This will give you the U, S, and V matrices of the SVD decomposition. The diagonal entries of the S matrix are the singular values of the original matrix.