[HTML][HTML] The ubiquitous Kronecker product
CF Van Loan - Journal of computational and applied mathematics, 2000 - Elsevier
The Kronecker product has a rich and very pleasing algebra that supports a wide range of
fast, elegant, and practical algorithms. Several trends in scientific computing suggest that …
fast, elegant, and practical algorithms. Several trends in scientific computing suggest that …
[图书][B] Templates for the solution of algebraic eigenvalue problems: a practical guide
In many large scale scientific or engineering computations, ranging from computing the
frequency response of a circuit to the earthquake response of a buildingto the energy levels …
frequency response of a circuit to the earthquake response of a buildingto the energy levels …
GMRES with deflated restarting
RB Morgan - SIAM Journal on Scientific Computing, 2002 - SIAM
A modification is given of the GMRES iterative method for nonsymmetric systems of linear
equations. The new method deflates eigenvalues using Wu and Simon's thick restarting …
equations. The new method deflates eigenvalues using Wu and Simon's thick restarting …
Eigenproblem Basics and Algorithms
L Jäntschi - Symmetry, 2023 - mdpi.com
Some might say that the eigenproblem is one of the examples people discovered by looking
at the sky and wondering. Even though it was formulated to explain the movement of the …
at the sky and wondering. Even though it was formulated to explain the movement of the …
Implicitly restarted GMRES and Arnoldi methods for nonsymmetric systems of equations
RB Morgan - SIAM Journal on Matrix Analysis and Applications, 2000 - SIAM
The generalized minimum residual method (GMRES) is well known for solving large
nonsymmetric systems of linear equations. It generally uses restarting, which slows the …
nonsymmetric systems of linear equations. It generally uses restarting, which slows the …
Implicitly restarted Arnoldi methods and subspace iteration
RB Lehoucq - SIAM Journal on Matrix Analysis and Applications, 2001 - SIAM
This goal of this paper is to present an elegant relationshipbetween an implicitly restarted
Arnoldi method (IRAM) and nonstationary (subspace) simultaneous iteration. This …
Arnoldi method (IRAM) and nonstationary (subspace) simultaneous iteration. This …
Krylov methods for nonsymmetric linear systems
G Meurant, JD Tebbens - Cham: Springer, 2020 - Springer
Solving systems of algebraic linear equations is among the most frequent problems in
scientific computing. It appears in many areas like physics, engineering, chemistry, biology …
scientific computing. It appears in many areas like physics, engineering, chemistry, biology …
Primme_svds: A high-performance preconditioned svd solver for accurate large-scale computations
The increasing number of applications requiring the solution of large-scale singular value
problems has rekindled an interest in iterative methods for the SVD. Some promising recent …
problems has rekindled an interest in iterative methods for the SVD. Some promising recent …
Restarted block-GMRES with deflation of eigenvalues
RB Morgan - Applied Numerical Mathematics, 2005 - Elsevier
Block-GMRES is an iterative method for solving nonsymmetric systems of linear equations
with multiple right-hand sides. Restarting may be needed, due to orthogonalization expense …
with multiple right-hand sides. Restarting may be needed, due to orthogonalization expense …
A harmonic restarted Arnoldi algorithm for calculating eigenvalues and determining multiplicity
RB Morgan, M Zeng - Linear algebra and its applications, 2006 - Elsevier
A restarted Arnoldi algorithm is given that computes eigenvalues and eigenvectors. It is
related to implicitly restarted Arnoldi, but has a simpler restarting approach. Harmonic and …
related to implicitly restarted Arnoldi, but has a simpler restarting approach. Harmonic and …