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Titlebook: G.W. Stewart; Selected Works with Misha E. Kilmer,Dianne P. O’Leary Book 2010 Springer Science+Business Media, LLC 2010 Algebra.Computer-A

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11#
發(fā)表于 2025-3-23 13:27:23 | 只看該作者
Organisation und Geschichte des Kongresses,In this collection of papers, Pete Stewart established the foundations for the perturbation theory of invariant subspaces. He introduced two crucial concepts that allow a systematic approach toward such a perturbation theory: subspace rotation and operator separation. These two concepts form the guiding principle in most of these papers.
12#
發(fā)表于 2025-3-23 15:51:33 | 只看該作者
13#
發(fā)表于 2025-3-23 18:25:27 | 只看該作者
14#
發(fā)表于 2025-3-24 01:51:20 | 只看該作者
50 Jahre Universit?ts-Informatik in MünchenThe preceding seven chapters of this commentary had outlined some of Stewart’s important contributions to matrix algorithms and matrix perturbation theory.
15#
發(fā)表于 2025-3-24 02:24:43 | 只看該作者
Publications, Honors, and StudentsDissertation: G. W. Stewart III, “Some Topics in Numerical Analysis,” University of Tennessee. Published as Technical Report ORNL-4303, Oak Ridge National Laboratory, September 1968.
16#
發(fā)表于 2025-3-24 09:19:45 | 只看該作者
Introduction to the CommentariesIn research spanning over 40 years, G.W. (Pete) Stewart has made foundational contributions to numerical linear algebra.
17#
發(fā)表于 2025-3-24 12:59:53 | 只看該作者
The Eigenproblem and Invariant Subspaces: Perturbation TheoryIn this collection of papers, Pete Stewart established the foundations for the perturbation theory of invariant subspaces. He introduced two crucial concepts that allow a systematic approach toward such a perturbation theory: subspace rotation and operator separation. These two concepts form the guiding principle in most of these papers.
18#
發(fā)表于 2025-3-24 16:00:20 | 只看該作者
19#
發(fā)表于 2025-3-24 21:51:57 | 只看該作者
Krylov Subspace Methods for the EigenproblemThese papers comprise some of Stewart’s recent contributions to the development and analysis of iterative algorithms based on Krylov subspace methods for computing eigenvalues.
20#
發(fā)表于 2025-3-25 00:25:18 | 只看該作者
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