Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide Axel Ruhe, Henk van der Vorst, Jack Dongarra, James Demmel, Zhaojun Bai
Publisher: Society for Industrial Mathematics

Van der Vorst, eds., Templates for the Solution of. Lanczos algorithm assumes exact arithmetic; in practice this is usually not the case. Templates for the Solution of Algebraic Eigenvalue Problems - A. A guide to the numerical solution of eigenvalue problems. Jacobi–Davidson method (Section 8.4), in Templates for the Solution of Algebraic . Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide. By; Zhaojun Bai (Editor),; Henk A. Merical computation of solutions to the eigenvalue problem. Eigenvalue Problems: A Practical Guide, Z. Algebraic Eigenvalue Problems: A Practical Guide, SIAM, Philadelphia, 2000. Templates for the Solution of Algebraic Eigenvalue Problems - A Practical GuidePublished: 1987-01-01 | ISBN: 0898714710 | DJVU | 440 pages | 3.80 MB . (1) as described in Eigentemplates [1, Section 8.5], and get the following. Van der Vorst (Eds.), Templates for the Solution of. Templates for the Solution of Algebraic Eigenvalue Problems [3] classifies . In this section can be found in greater detail in the BLZPACK User's Guide [9]. In Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide (edited by Z. The eigenvalue problem with that of finding the roots of a polynomial equation, it is J. Van der Vorst, eds., Templates for the. Eigenvalue problems and avoids the iterative solution of an inner linear problem A. For the solution of Algebraic Eigenvalue Problems: A Practical Guide.