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Electronic Transactions on Numerical Analysis

Electronic Transactions on Numerical Analysis (ETNA) is an electronic journal for the publication of significant new developments in numerical analysis and scientific computing. Papers of the highest quality that deal with the analysis of algorithms for the solution of continuous models and numerical linear algebra are appropriate for ETNA, as are papers of similar quality that discuss implementation and performance of such algorithms. New algorithms for current or new computer architectures are appropriate provided that they are numerically sound. However, the focus of the publication should be on the algorithm rather than on the architecture. The journal is published by the Kent State University Library in conjunction with the Institute of Computational Mathematics at Kent State University, and in cooperation with the Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences (RICAM). Reviews of all ETNA papers appear in Mathematical Reviews and Zentralblatt für Mathematik. Reference information for ETNA papers also appears in the expanded Science Citation Index. ETNA is registered with the Library of Congress and has ISSN 1068-9613.

Dissemination

Manuscripts will be posted as soon as they are accepted in a directory which is publicly accessible through the Internet. On a regular basis, the titles of these manuscripts will be e-mailed to registered departments and individuals and posted on public bulletin boards such as NA-digest. All manuscripts are in PDF format. They can be accessed via the World Wide Web at http://etna.math.kent.edu or one of its mirror sites.

The first issue of ETNA appeared on September 1, 1993. The Journal was founded by Lothar Reichel, Arden Ruttan and Richard S. Varga.

Inquiries for further information about ETNA should be e-mailed to etna@ricam.oeaw.ac.at.

Contributions

ETNA has been able to operate and offer free access to its papers since 1993, mostly due to generous support of Kent State University. To supplement this support, and to be able to continue this service to the scientific community, contributions are welcomed (Details).

Latest articles

A decoupling finite element method with different time steps for the micropolar fluid model
Pengzhan Huang and Cheng Liao
Volume 55, Pages 263-284; Abstract and links, Full Text (PDF) [855 KB]
Approximation of a marine ecosystem model by artificial neural networks
Markus Pfeil and Thomas Slawig
Volume 56, Pages 138-156; Abstract and links, Full Text (PDF) [8.5 MB]
A machine learning framework for LES closure terms
Marius Kurz and Andrea Beck
Volume 56, Pages 117-137; Abstract and links, Full Text (PDF) [6.9 MB]
A non-intrusive method to inferring linear port-Hamiltonian realizations using time-domain data
Karim Cherifi, Pawan Goyal, and Peter Benner
Volume 56, Pages 102-116; Abstract and links, Full Text (PDF) [381 KB]
On multidimensional sinc-Gauss sampling formulas for analytic functions
Rashad M. Asharabi and Felwah H. Al-Haddad
Volume 55, Pages 242-262; Abstract and links, Full Text (PDF) [659 KB]