There are several algorithms to compute a matrix inverse, and each algorithm has several variations. Three common algorithms are LUP ("lower upper permutation"), SVD ("singular value decomposition") ...

Solution methods include matrix inverse, factorization, adaptive filtering and singular value decomposition and are typically performed using floating-point arithmetic to allow for sufficient dynamic ...

Kunio Tanabe, Masahiko Sagae, An Exact Cholesky Decomposition and the Generalized Inverse of the Variance-Covariance Matrix of the Multinomial Distribution, with Applications, Journal of the Royal ...

The G4 inverse is computed using the eigenvalue decomposition , where Z is the orthogonal matrix of eigenvectors and is the diagonal matrix of eigenvalues, . The G4 inverse of H is set to where the ...

Timo Mäkeläinen, George P. H. Styan, A Decomposition of an Idempotent Matrix Where Nonnegativity Implies Idempotence and None of the Matrices Need Be Symmetric, Sankhyā: The Indian Journal of ...