This monograph, part of a series dealing with advanced scientific computing, deals with sparse matrices, perturbation theory and error analysis, spectral approximation, eigenvalue problems and more. The series of monographs reflects the advent of vector and parallel processing and the development of new algorithms and techniques, some of which relate to parallelism and some of which are due to the emergence of new methods in applied mathematics.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-0-7190-3386-5 (9780719033865)
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Schweitzer Klassifikation
Background in matrix theory and linear algebra; sparce matrices; perturbation theory and error analysis; the tools of spectral approximation; subspace iteration; Krylov subspace methods; acceleration techniques and hybrid methods; preconditioning techniques; non-standard eigenvalue problems; origins of matrix eigenvalue problems.
