[图书][B] ARPACK users' guide: solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods

RB Lehoucq, DC Sorensen, C Yang - 1998 - SIAM
The development of ARPACK began as a research code written in Matlab and then in
Fortran 77 in 1990. Initially, the code was developed to study and verify the properties of the …

[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 …

[图书][B] Templates for the solution of algebraic eigenvalue problems: a practical guide

Z Bai, J Demmel, J Dongarra, A Ruhe, H van der Vorst - 2000 - SIAM
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 …

[图书][B] Matrix Algorithms: Volume II: Eigensystems

GW Stewart - 2001 - SIAM
This book, Eigensystems, is the second volume in a projected five-volume series entitled
Matrix Algorithms. The first volume treated basic decompositions. The three following this …

[图书][B] Matrix algorithms: volume 1: basic decompositions

GW Stewart - 1998 - SIAM
This book, Basic Decompositions, is the first volume in a projected five-volume series
entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods …

A Krylov--Schur algorithm for large eigenproblems

GW Stewart - SIAM Journal on Matrix Analysis and Applications, 2002 - SIAM
Sorensen's implicitly restarted Arnoldi algorithm is one of the most successful and flexible
methods for finding a few eigenpairs of a large matrix. However, the need to preserve the …

[图书][B] Numerical linear algebra for high-performance computers

The purpose of this book is to unify and document in one place many of the techniques and
much of the current understanding about solving systems of linear equations on vector and …

Recycling Krylov subspaces for sequences of linear systems

ML Parks, E De Sturler, G Mackey, DD Johnson… - SIAM Journal on …, 2006 - SIAM
Many problems in science and engineering require the solution of a long sequence of slowly
changing linear systems. We propose and analyze two methods that significantly reduce the …

Augmented implicitly restarted Lanczos bidiagonalization methods

J Baglama, L Reichel - SIAM Journal on Scientific Computing, 2005 - SIAM
New restarted Lanczos bidiagonalization methods for the computation of a few of the largest
or smallest singular values of a large matrix are presented. Restarting is carried out by …

Thick-restart Lanczos method for large symmetric eigenvalue problems

K Wu, H Simon - SIAM Journal on Matrix Analysis and Applications, 2000 - SIAM
In this paper, we propose a restarted variant of the Lanczos method for symmetric
eigenvalue problems named the thick-restart Lanczos method. This new variant is able to …