In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.
-
Notifications
You must be signed in to change notification settings - Fork 0
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.
vilarj/singular-value-decomposition
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix that generalizes the eigendecomposition of a square normal matrix to any MxN matrix via an extension of the polar decomposition.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published