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In linear algebra, the singular-value decomposition (SVD) is a factorization of a real or complex matrix

Singular Value Decomposition

by Donald Schaefer
Singular Value Decomposition Offers Apple Watch App
Check the details on WatchAware

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.

App Details

Version
1.3
Rating
NA
Size
1Mb
Genre
Productivity Education
Last updated
September 26, 2021
Release date
July 11, 2019
More info

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App Store Description

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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