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Singular value decomposition (SVD) is a factorization of a matrix with multiple applications such as solving linear equations, total least squares minimization, etc.
Add SingularValueDecomposition class to the Numerics.LinearAlgebra namespace with a similar style as other decomposition classes in the namespace. Support for applications in the form of static methods should also be added.
The text was updated successfully, but these errors were encountered:
Singular value decomposition (SVD) is a factorization of a matrix with multiple applications such as solving linear equations, total least squares minimization, etc.
See: https://en.wikipedia.org/wiki/Singular_value_decomposition
Add
SingularValueDecomposition
class to theNumerics.LinearAlgebra
namespace with a similar style as other decomposition classes in the namespace. Support for applications in the form of static methods should also be added.The text was updated successfully, but these errors were encountered: