Category "svd"

Singular Value Decomposition (SVD) outputs a 1-D singular value array, instead of 2-D diagonal matrix [Python]

I was posting a question on similar subject, and encountered another more important question. When I apply SVD to a matrix 'A' (code below) the output I get is

"Error in svd(c) : infinite or missing values in 'x'" when using synth() in R

I am using the synth package in R to implement a synthetic control method, where I use the dataprep() function to construct the appropriate matrices to be passe

Get U, Sigma, V* matrix from Truncated SVD in scikit-learn

I am using truncated SVD from scikit-learn package. In the definition of SVD, an original matrix A is approxmated as a product A ≈ UΣV* where