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15
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Using SVD to approximate matrix-vector multiplication?

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#linear-algebra #matrices #approximation #svd #matrix-decomposition
173
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Can I clamp singular values of $3\times3$ matrix without effectively computing SVD?

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#optimization #matrix-decomposition #svd
928
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SVD products and the approximation error using Frobenius norm

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#linear-algebra #svd
24
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Matrix multiplication error or is it just me?

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#matrix-calculus #svd
173
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Constrained SVD

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#linear-algebra #eigenvalues-eigenvectors #svd
388
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How to define the nuclear norm of a tensor?

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#normed-spaces #tensors #svd #nuclear-norm
1.1k
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Relationship between eigenvectors and singular vectors of a Hermitian matrix?

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#linear-algebra #matrices #eigenvalues-eigenvectors #svd
611
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Singular value decomposition about complex matrix

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#complex-analysis #svd
1.5k
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Numerically stable SVD

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#numerical-methods #numerical-linear-algebra #svd
3.9k
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Does the spectral norm of a square matrix equal its largest eigenvalue in absolute value?

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#linear-algebra #matrices #normed-spaces #spectral-theory #svd
55
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Linear Algebra: Eigenvalues of matrix multiplied with transpose.

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#eigenvalues-eigenvectors #matrix-decomposition #svd
845
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Given matrices $A$ and $B$, how can I find a scalar $s$ that makes $A + s B$ rank-$1$?

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#linear-algebra #matrices #matrix-rank #svd #rank-1-matrices
112
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Does SVD always produce eigenvectors which are normal

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#eigenvalues-eigenvectors #svd
2.2k
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How do the rows of a change of basis matrix form a basis for expressing columns?

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#linear-algebra #matrices #linear-transformations #machine-learning #svd
784
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Merging two SVD factorizations but using only $U_1S_1$ and $U_2S_2$ (question about Radim's Phd Thesis [gensim])

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#svd

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