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GAMM-Mitteilungen is a peer-reviewed journal published by Wiley, covering Composite Material Mechanics, Elasticity and Material Modeling, Advanced Mathematical Modeling in Engineering.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." GAMM-Mitteilungen 12 (3): 45–58.
Formats any DOI in GAMM-Mitteilungen style. No sign-up. |
| Publishes research in | Composite Material Mechanics Elasticity and Material Modeling Advanced Mathematical Modeling in Engineering Numerical methods in engineering Advanced Numerical Methods in Computational Mathematics |
| ISSN | 0936-7195 |
| Citation impact (2-yr) | 1.22 |
| h-index | 34 |
| i10-index | 123 |
| Total citations | 5,700 |
| Article processing charge | $3,140 |
| Top institutions publishing here | University of Stuttgart |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract During the last years, low‐rank tensor approximation has been established as a new tool in scientific computing to address large‐scale linear and multilinear algebra problems, which would be intractable by classical techniques. This survey attempts to give a literature overview of current developments in this area, with an emphasis on function‐related tensors. (© 2013…
Abstract We discuss the state of the art in numerical solution methods for large scale polynomial or rational eigenvalue problems. We present the currently available solution methods such as the Jacobi‐Davidson, Arnoldi or the rational Krylov method and analyze their properties. We briefly introduce a new linearization technique and demonstrate how it can be used…
Abstract We give a review of Nitsche's method applied to interface problems, involving real or artificial interfaces. Applications to unfitted meshes, Chimera meshes, cut meshes, fictitious domain methods, and model coupling are discussed. (© 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Abstract Matrix functions are a central topic of linear algebra, and problems of their numerical approximation appear increasingly often in scientific computing. We review various rational Krylov methods for the computation of large‐scale matrix functions. Emphasis is put on the rational Arnoldi method and variants thereof, namely, the extended Krylov subspace method and the shift‐and‐invert…
Abstract Efficient numerical algorithms for the solution of large and sparse matrix Riccati and Lyapunov equations based on the low rank alternating directions implicit (ADI) iteration have become available around the year 2000. Over the decade that passed since then, additional methods based on extended and rational Krylov subspace projection have entered the field and…
