Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Clarify the role of pivoting in QR factorization #29976

Merged
merged 2 commits into from
Nov 21, 2018
Merged

Clarify the role of pivoting in QR factorization #29976

merged 2 commits into from
Nov 21, 2018

Conversation

mzaffalon
Copy link
Contributor

@@ -318,7 +318,9 @@ Iterating the decomposition produces the components `Q`, `R`, and if extant `p`.

The following functions are available for the `QR` objects: [`inv`](@ref), [`size`](@ref),
and [`\\`](@ref). When `A` is rectangular, `\\` will return a least squares
solution and if the solution is not unique, the one with smallest norm is returned.
solution and if the solution is not unique, the one with smallest norm is returned. When
`A` is not full rank, factorization with (column) pivoting is required to obtain a finite
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I'm not sure about the "finite norm solution" part here. I'd expect it to be a "unique solution" or "minimum norm solution".

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

You are right. After I submitted it, I also thought it was badly formulated. I will change it when I get home.

@kshyatt kshyatt added docs This change adds or pertains to documentation linear algebra Linear algebra labels Nov 14, 2018
@andreasnoack andreasnoack merged commit e5e6b64 into JuliaLang:master Nov 21, 2018
@mzaffalon
Copy link
Contributor Author

You mean backporting to the docs of v1.0.1? If so and you don't mind, I can do that.

@mzaffalon mzaffalon deleted the patch-1 branch November 22, 2018 07:28
@andreasnoack
Copy link
Member

@mzaffalon You don't have to do anything here. I believe the process is mostly automated at this point once an issue has been marked for backporting.

KristofferC pushed a commit that referenced this pull request Nov 28, 2018
* Clarify the role of pivoting in QR factorization

Ref: https://discourse.julialang.org/t/left-matrix-division-with-singular-matrix/15503

* Update qr.jl

(cherry picked from commit e5e6b64)
@KristofferC KristofferC mentioned this pull request Nov 28, 2018
61 tasks
KristofferC pushed a commit that referenced this pull request Dec 12, 2018
* Clarify the role of pivoting in QR factorization

Ref: https://discourse.julialang.org/t/left-matrix-division-with-singular-matrix/15503

* Update qr.jl

(cherry picked from commit e5e6b64)
KristofferC pushed a commit that referenced this pull request Feb 11, 2019
* Clarify the role of pivoting in QR factorization

Ref: https://discourse.julialang.org/t/left-matrix-division-with-singular-matrix/15503

* Update qr.jl

(cherry picked from commit e5e6b64)
KristofferC pushed a commit that referenced this pull request Feb 20, 2020
* Clarify the role of pivoting in QR factorization

Ref: https://discourse.julialang.org/t/left-matrix-division-with-singular-matrix/15503

* Update qr.jl

(cherry picked from commit e5e6b64)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
docs This change adds or pertains to documentation linear algebra Linear algebra
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants