The Singular Value Decomposition (SVD) is a fundamental tool in linear algebra that decomposes a matrix into a product of three matrices. The SVD can be used for data compression, image processing, and other applications.
The Singular Value Decomposition (SVD) is a fundamental tool in linear algebra that decomposes a matrix into a product of three matrices. The SVD can be used for data compression, image processing, and other applications.