The singular values of a matrix A are the positive square roots of the eigenvalues of A AT. So, if A is symmetric, the singular values are the absolute values of the eigenvalues of A. The SVL or svl command finds the singular values of a matrix.
| SVL([[1,2],[3,4]]) | 
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| evalf(sqrt(eigenvals([[1,2],[3,4]]*transpose([[1,2],[3,4]])))) | 
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| svl([[1,4],[4,1]]) | 
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| abs(eigenvals([[1,4],[4,1]])) | 
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