Refined iterative Methods for computation of the solution and the Eigenvalues of self-adjoint boundary value problems
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
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8
- Extent
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107 S.
- Language
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Englisch
- Bibliographic citation
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Mitteilungen aus dem Institut für Angewandte Mathematik an der Eidgenössische Technische Hochschule in Zürich ; Nr. 8
- Event
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Veröffentlichung
- (where)
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Basel, Stuttgart
- (who)
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Birkhäuser
- (when)
-
1959
- Contributor
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 2:01 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Engeli, Max
- Birkhäuser
Time of origin
- 1959
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Electromagnetic Steklov eigenvalues: existence and distribution in the self-adjoint case
Iterative refinement for symmetric eigenvalue decomposition II: clustered eigenvalues
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Secure outsourced computation of the characteristic polynomial and eigenvalues of matrix
Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry
Adaptive finite element computation of eigenvalues
Adaptive finite element computation of eigenvalues
Computation of eigenvalues by numerical upscaling
Adjoint-based exact Hessian computation
Local two-sided bounds for eigenvalues of self-adjoint operators
An analytic characterization of the eigenvalues of self-adjoint extensions
Structural topology optimization for repeated eigenvalues with the adjoint sensitivity analysis
Electromagnetic Steklov eigenvalues: existence and distribution in the self-adjoint case
Iterative refinement for symmetric eigenvalue decomposition II: clustered eigenvalues
Computation of Iterative operator-splitting methods
Secure outsourced computation of the characteristic polynomial and eigenvalues of matrix