Question

Inner product of B-splines in orthogonalization

score 137 · Answer 1 · 2022-01-16 00:23:31

137

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Inner product of B-splines in orthogonalization

Published on 16 Jan 2022 - 0:23

score 595 · Answer 2 · 2026-02-24 02:17:52

595

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Symplectic version of "Gram-Schmidt"

Published on 24 Feb 2026 - 2:17

score 53 · Answer 3 · 2022-02-16 11:57:01

53

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Gram-Schmidt and inner product space for polynomials

Published on 16 Feb 2022 - 11:57

score 28 · Answer 4 · 2022-02-16 12:37:38

28

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Calculating the basis and ortogonalizing it using the Gram-Schmidt method

Published on 16 Feb 2022 - 12:37

score 145 · Answer 5 · 2022-02-17 12:57:29

145

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Proof that the same eigenvalues are associated to orthogonalized eigenvectors

Published on 17 Feb 2022 - 12:57

score 106 · Answer 6 · 2022-02-28 00:36:10

106

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conceptual questions about Gram-Schmidt: when does the process terminate (for linearly dependent vectors)

Published on 28 Feb 2022 - 0:36

score 295 · Answer 7 · 2022-03-01 09:34:12

295

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Understanding properties of sequential orthogonalization methods like Gram-Schmidt.

Published on 01 Mar 2022 - 9:34

score 284 · Answer 8 · 2022-03-15 06:39:19

284

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Using gram-schmidt to compute basis of column space.

Published on 15 Mar 2022 - 6:39

score 121 · Answer 9 · 2022-03-24 11:23:18

121

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Find an orthonormal basis and the signature of the quadratic form

Published on 24 Mar 2022 - 11:23

score 55 · Answer 10 · 2022-04-01 09:59:05

55

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Gram Schmidt process against orthogonal basis W

Published on 01 Apr 2022 - 9:59

score 260 · Answer 11 · 2022-04-08 12:24:05

260

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Deriving projection matrix $QQ^Tb=\hat b$ from normal equation

Published on 08 Apr 2022 - 12:24

score 63 · Answer 12 · 2022-04-15 00:51:28

63

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Orthogonal projection of $D=\begin{pmatrix}1 & 1\\ -3 & 1\end{pmatrix}$ on $W=\{A\in M_{2\times 2}(\mathbb{R})~|~Trace(A)=0\}$ in product space $V$.

Published on 15 Apr 2022 - 0:51

score 91 · Answer 13 · 2022-04-30 16:50:55

91

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Gram-Schmidt process to construct orthonormal base in a finite vector space with indefinite scalar product.

Published on 30 Apr 2022 - 16:50

score 682 · Answer 14 · 2026-03-07 11:07:17

682

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Help with understanding the Gram-Schmidt Process

Published on 07 Mar 2026 - 11:07

score 59 · Answer 15 · 2022-05-10 12:25:29

59

Views

Let $T:\mathbb{P_2\to R}$ be transformation. Find basis for kernel of $T$ that is orthogonal w. r. t. inner product. $⟨f(x),g(x)⟩=\int_0^1f(x)g(x)dx$

Published on 10 May 2022 - 12:25

List Question

Inner product of B-splines in orthogonalization

Symplectic version of "Gram-Schmidt"

Gram-Schmidt and inner product space for polynomials

Calculating the basis and ortogonalizing it using the Gram-Schmidt method

Proof that the same eigenvalues are associated to orthogonalized eigenvectors

conceptual questions about Gram-Schmidt: when does the process terminate (for linearly dependent vectors)

Understanding properties of sequential orthogonalization methods like Gram-Schmidt.

Using gram-schmidt to compute basis of column space.

Find an orthonormal basis and the signature of the quadratic form

Gram Schmidt process against orthogonal basis W

Deriving projection matrix $QQ^Tb=\hat b$ from normal equation

Orthogonal projection of $D=\begin{pmatrix}1 & 1\\ -3 & 1\end{pmatrix}$ on $W=\{A\in M_{2\times 2}(\mathbb{R})~|~Trace(A)=0\}$ in product space $V$.

Gram-Schmidt process to construct orthonormal base in a finite vector space with indefinite scalar product.

Help with understanding the Gram-Schmidt Process

Let $T:\mathbb{P_2\to R}$ be transformation. Find basis for kernel of $T$ that is orthogonal w. r. t. inner product. $⟨f(x),g(x)⟩=\int_0^1f(x)g(x)dx$

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