Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...

This is a preview. Log in through your library . Abstract Matrix factorization in numerical linear algebra (NLA) typically serves the purpose of restating some given problem in such a way that it can ...

A symbolic formula is given for the square-root-free Cholesky decomposition of the variance-covariance matrix of the multinomial distribution. The evaluation of the symbolic Cholesky factors requires ...