In linear algebra, the singular-value decomposition (SVD) is a factorization of a real or complex matrix
Singular Value Decomposition
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What is it about?
In linear algebra, the singular-value decomposition (SVD) is a factorization of a real or complex matrix. The Singular-Value Decomposition, or SVD for short, is a matrix decomposition method for reducing a matrix to its constituent parts in order to make certain subsequent matrix calculations simpler.
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In linear algebra, the singular-value decomposition (SVD) is a factorization of a real or complex matrix. The Singular-Value Decomposition, or SVD for short, is a matrix decomposition method for reducing a matrix to its constituent parts in order to make certain subsequent matrix calculations simpler.
The Singular Value Decomposition app for iPad, iPhone and Apple Watch provides for the entry of 2x2, 3x3 and 4x4 square matrices. After the matrices are saved the app presents the results of A = USV(transpose).
This app is an iOS 12.2 app for iPhone and iPad and 4.0 version for Apple Watch.
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