Joint approximate diagonalization of positive definite Hermitian matrices

DT Pham - SIAM Journal on Matrix Analysis and Applications, 2001 - SIAM
This paper provides an iterative algorithm to jointly approximately diagonalize K Hermitian
positive definite matrices \bfΓ_1,\dots, \bfΓ_K. Specifically, it calculates the matrix B which …

Some matrix iterations for computing matrix sign function

F Soleymani, E Tohidi, S Shateyi… - Journal of Applied …, 2014 - Wiley Online Library
Some iterative methods are introduced and demonstrated for finding the matrix sign function.
It is analytically shown that the new schemes are asymptotically stable. Convergence …

[PDF][PDF] Parallel Auto-tuned GMRES Method to Solve Complex Non-Hermitian Linear Systems

PY Aquilanti12, S Petiton, H Calandra - 2010 - vecpar.fe.up.pt
Solving a linear system in a minimum time is a key factor in many scientific fields. It is
possible to reduce time of computation for a given linear system by using auto-tuning and …

An analysis on the efficiency of Euler's method for computing the matrix pth root

Y Ling, Z Huang - Numerical Linear Algebra with Applications, 2017 - Wiley Online Library
It is shown that the matrix sequence generated by Euler's method starting from the identity
matrix converges to the principal p th root of a square matrix, if all the eigenvalues of the …

Behavior of the Correction Equations in the Jacobi–Davidson Method

Y Kong, Y Fang - Mathematical Problems in Engineering, 2019 - Wiley Online Library
The Jacobi–Davidson iteration method is efficient for computing several eigenpairs of
Hermitian matrices. Although the involved correction equation in the Jacobi–Davidson …

An algorithm for approximating the singular triplets of complex symmetric matrices

V Simoncini, E Sjöström - Numerical linear algebra with …, 1997 - Wiley Online Library
We present an algorithm for the approximation of the dominant singular values and
corresponding right and left singular vectors of a complex symmetric matrix. The method is …

[HTML][HTML] Computing eigenvalues of normal matrices via complex symmetric matrices

M Ferranti, R Vandebril - Journal of Computational and Applied …, 2014 - Elsevier
Computing all eigenvalues of a modest size matrix typically proceeds in two phases. In the
first phase, the matrix is transformed to a suitable condensed matrix format, sharing the …

An Iterative algorithm for -(anti)-Hermitian least-squares solutions of quaternion matrix equations

F Beik, S Ahmadi-Asl - The Electronic Journal of Linear Algebra, 2015 - journals.uwyo.edu
Recently, some research has been devoted to finding the explicit forms of the η-Hermitian
and η-anti-Hermitian solutions of several kinds of quaternion matrix equations and their …

[PDF][PDF] Solving engineering models using matrix functions

E Defez, J Sastre, J Ibánez, PA Ruiz… - Proc. Int. Conf. on Math …, 2011 - researchgate.net
Trigonometric matrix functions play a fundamental role in second order differential systems.
In this article an efficient and highlyaccurate Hermite algorithm is presented for the …

[PDF][PDF] Projection Method for the Decomposition of Hermitian Matrices into Pauli Matrices

C Fontana - matrix - researchgate.net
Projection Method for the Decomposition of Hermitian Matrices into Pauli Matrices ( ) ( ) { } } ( )
Page 1 Projection Method for the Decomposition of Hermitian Matrices into Pauli Matrices …