The SFB program expired on September 30, 2008. For the link to the successor project click DK Computational Mathematics
Home
Appointments
Papers
Misc
Contact

Technical Reports

Publication Lists

Annual Reports


Publications of the Project F1306


InProceedingsReferred - 2007


September 27, 2008

Bibliography

1
S. Beuchler and V. Pillwein.
Completions to sparse shape functions for triangular and tetrahedral p-FEM.
In U. Langer, M. Discacciati, D. E. Keyes, O. B. Widlund, and W. Zulehner, editors, Domain Decomposition Methods in Science and Engineering XVII, volume 60 of Lecture Notes in Computational Science and Engineering, pages 435-442, Heidelberg, 2007. Springer.
Proceedings of the 17th International Conference on Domain Decomposition Methods held at St. Wolfgang / Strobl, Austria, July 3-7, 2006.
2
P. G. Gruber and J. Valdman.
Implementation of elastoplastic solver based on the Moreau-Yosida Theorem.
In R. Beauwens, editor, Mathematics and Computers in Simulation, volume 76, pages 73-81, October 2007.
3
U. Langer, G. Of, O. Steinbach, and W. Zulehner.
Inexact fast multipole beti methods.
In D. Keys and O. Widlund, editors, Domain Decomposition Methods in Sciences and Engineering XVI, volume 55 of Lecture Notes in Computational Sciences and Engineering, pages 407-414, Heidelberg, 2007. Springer.
4
U. Langer and C. Pechstein.
Coupled feti/beti solvers for nonlinear potential problems in (un)bounded domains.
In G. Ciuprina and D. Ioan, editors, Proceedings of the SCEE 2006, volume 11 of Mathematics in Industry, pages 371-377, Heidelberg, 2007. Springer.
5
U. Langer and O. Steinbach.
Coupled finite and boundary element domain decomposition methods.
In M. Schanz and O. Steinbach, editors, Boundary Element Analysis: Mathematical Aspects and Application, volume 29 of Lecture Notes in Applied and Computational Mechanics, pages 29-59, Berlin, 2007. Springer.




Please direct your comments or eventual problem reports to webmaster.

SpezialForschungsBereich SFB F013 | Special Research Program of the FWF - Austrian Science Fund