Matrix Analysis¶
Horn, R. A., & Johnson, C. R. (2012). Matrix Analysis. Cambridge University Press.
Cited by¶
7 citations across 7 artifacts.
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Domain-specific¶
- Bidiagonal matrix
- Determinant
- Exchange matrix
- Hurwitz-Stable Matrix
- Matrix
- The spectral decomposition \(A = Q\Lambda Q^\top\) (for symmetric \(A\)) and the singular value decomposition \(A = U\Sigma V^\top\) (for any \(A\)) factor the matrix into geometrically interpretable pieces — rotations, reflections, scalings — that expose the principal directions of the transformation and their magnitudes
This sourceThe standard graduate reference for these factorizations, organized around canonical forms and with sections on the singular value decomposition added in the second edition; its treatment is algebraic, so the reading of the factors as rotations, reflections and scalings is not taken from it.
- The spectral decomposition \(A = Q\Lambda Q^\top\) (for symmetric \(A\)) and the singular value decomposition \(A = U\Sigma V^\top\) (for any \(A\)) factor the matrix into geometrically interpretable pieces — rotations, reflections, scalings — that expose the principal directions of the transformation and their magnitudes
- Matrix Similarity
- Nonnegative Matrix
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