Cited by 2,364Matrix Theory and AlgorithmsSpectral Theory in Mathematical PhysicsAdvanced Numerical Methods in Computational Mathematics

The DOI matches its Crossref record.

Numerical Methods for Large Eigenvalue Problems: Revised Edition

Saad, Yousef·2011·Society for Industrial and Applied Mathematics eBooks

Abstract

Preface to the Classics Edition Preface 1. Background in matrix theory and linear algebra 2. Sparse matrices 3. Perturbation theory and error analysis 4. The tools of spectral approximation 5. Subspace iteration 6. Krylov subspace methods 7. Filtering and restarting techniques 8. Preconditioning techniques 9. Non-standard eigenvalue problems 10. Origins of matrix eigenvalue problems References Index.

Overview

Integrity signals

Registry

Crossref · 10.1137/1.9781611970739

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Items 601–700 of 1,000

Metadata

Authors
Saad, Y.
Affiliations
University of Minnesota (US)
Corresponding author
Saad, Yousef
Venue
Society for Industrial and Applied Mathematics eBooks
Published
2011-01-01
OpenAlex
W1563653928
Cited by
2,364
References
0
Citations by year
2026: 80 · 2025: 92 · 2024: 88 · 2023: 88 · 2022: 92 · 2021: 119 · 2020: 118 · 2019: 124 · 2018: 134 · 2017: 107 · 2016: 100 · 2015: 100 · 2014: 130 · 2013: 82 · 2012: 70
FWCI
28.30
Type
book
Language
en
Open access
closed
Locations
Society for Industrial and Applied Mathematics eBooks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
  • Physical Sciences › Mathematics › Mathematical Physics › Spectral Theory in Mathematical Physics
  • Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
Keywords
large eigenvalue problems, matrix eigenvalue problems, sparse matrices, perturbation theory, error analysis, spectral approximation, subspace iteration, Krylov subspace methods, restarting, filtering, preconditioning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review