Question

Finding the best approximation of orthonormal vectors has the largest square inner product with a set of given vectors

score 19 · Answer 1 · 2022-05-12 02:38:21

19

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Finding the best approximation of orthonormal vectors has the largest square inner product with a set of given vectors

Published on 12 May 2022 - 2:38

score 55 · Answer 2 · 2022-05-25 15:58:14

55

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Is there a name for the matrices with the same eigenvectors?

Published on 25 May 2022 - 15:58

score 75 · Answer 3 · 2022-05-28 13:13:34

75

Views

Compact SVD for $A_{i, j} = \sin(i) \cdot \cos(j)$

Published on 28 May 2022 - 13:13

score 144 · Answer 4 · 2026-03-26 16:03:56

144

Views

Linear Algebra: Solving the minimization with vector p-norm.

Published on 26 Mar 2026 - 16:03

score 92 · Answer 5 · 2026-03-30 20:44:27

92

Views

Positive semi-definiteness of difference of two positive matrices: prove or disprove

Published on 30 Mar 2026 - 20:44

score 34 · Answer 6 · 2022-06-01 16:15:25

34

Views

SVD and projection

Published on 01 Jun 2022 - 16:15

score 86 · Answer 7 · 2022-06-05 17:59:24

86

Views

Given A a square matrix and its SVD decomposition A=UEV. It is possible to prove that EV is always diagonalizable?

Published on 05 Jun 2022 - 17:59

score 28 · Answer 8 · 2022-06-10 17:55:52

28

Views

When can a function be decomposed into 3 functions whose Jacobians make up the SVD of the original function?

Published on 10 Jun 2022 - 17:55

score 38 · Answer 9 · 2022-06-12 12:24:56

38

Views

Derivation of PCA - Unclear part

Published on 12 Jun 2022 - 12:24

score 41 · Answer 10 · 2022-06-13 09:50:13

41

Views

Complexity of SVD computation assuming knowing left singular vectors and singular values

Published on 13 Jun 2022 - 9:50

score 233 · Answer 11 · 2022-06-23 17:09:22

233

Views

Diagonalize 2x2 block matrix where the blocks are diagonal matrices

Published on 23 Jun 2022 - 17:09

score 101 · Answer 12 · 2026-03-26 08:03:27

101

Views

quasi-PCA reconstruction of the matrix by orthogonal basis

Published on 26 Mar 2026 - 8:03

score 59 · Answer 13 · 2022-06-28 09:49:49

59

Views

Column space of a linear model

Published on 28 Jun 2022 - 9:49

score 60 · Answer 14 · 2026-03-28 11:03:52

60

Views

SVD analysis of the error of the Linear Equation System solutions under random perturbations

Published on 28 Mar 2026 - 11:03

score 40 · Answer 15 · 2022-07-06 05:56:32

40

Views

Matrix Normalization via SVD decomposition

Published on 06 Jul 2022 - 5:56

List Question

Finding the best approximation of orthonormal vectors has the largest square inner product with a set of given vectors

Is there a name for the matrices with the same eigenvectors?

Compact SVD for $A_{i, j} = \sin(i) \cdot \cos(j)$

Linear Algebra: Solving the minimization with vector p-norm.

Positive semi-definiteness of difference of two positive matrices: prove or disprove

SVD and projection

Given A a square matrix and its SVD decomposition A=UEV. It is possible to prove that EV is always diagonalizable?

When can a function be decomposed into 3 functions whose Jacobians make up the SVD of the original function?

Derivation of PCA - Unclear part

Complexity of SVD computation assuming knowing left singular vectors and singular values

Diagonalize 2x2 block matrix where the blocks are diagonal matrices

quasi-PCA reconstruction of the matrix by orthogonal basis

Column space of a linear model

SVD analysis of the error of the Linear Equation System solutions under random perturbations

Matrix Normalization via SVD decomposition

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