Both R and Python have built-in functions and libraries that implement various matrix decompositions. For example, in R, you can use the base functions chol(), qr(), svd(), and eigen(), or the ...

This repository contains Python functions implementing the Hoffman algorithm for decomposing elements of SO(N), and functions applying this algorithm to decompose any element of the matchgate group ...

Matrix factorization techniques can be improved in terms of performance and robustness by incorporating additional information into the factorization process, such as user or item attributes ...

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science , involve working with matrixes , or lists of numbers.

Is considered bringing of the matrix polynomial decomposition of the transfer function of the object to a coprime form. Violation requirements coprime decomposition leads to the appearance in the same ...

This repository contains Python functions implementing the Hoffman algorithm for decomposing elements of SO(N), and functions applying this algorithm to decompose any element of the matchgate group ...