Difference between singular values and eigenvalues
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The term “singular value” relates to the distance between a matrix and the set of singular matrices. Eigenvalues play an important role in situations where the matrix is a trans- formation from one vector space onto itself. Systems of linear ordinary differential equations are the primary examples.
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