By M. Altieri, Chr. Becker, S. Turek (auth.), Hans-Joachim Bungartz, Franz Durst, Christoph Zenger (eds.)

ISBN-10: 3540657304

ISBN-13: 9783540657309

ISBN-10: 3642601553

ISBN-13: 9783642601552

This quantity comprises the complaints of a world convention on excessive functionality clinical and engineering computing held in Munich in March 1998 and arranged via FORTWIHR, the Bavarian Consortium for top functionality medical Computing. The 38 contributions disguise engineering functions for numerical simulation from the fields fluid circulation, optimum keep watch over, crystal development and semiconductor expertise, in addition to numerical simulation in astrophysics or quantum chemistry. not like comparable collections, the reader will get a truly interdisciplinary spectrum of the state-of-the-art of chosen themes of clinical computing with fresh result of learn teams from utilized arithmetic, computing device technology, engineering, physics and chemistry.

**Read Online or Download High Performance Scientific and Engineering Computing: Proceedings of the International FORTWIHR Conference on HPSEC, Munich, March 16-18, 1998 PDF**

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**Additional resources for High Performance Scientific and Engineering Computing: Proceedings of the International FORTWIHR Conference on HPSEC, Munich, March 16-18, 1998**

**Sample text**

Grid 1 Fig. 4. Grid 2 and corresponds to the desired solution a~curacy. This strategy produces the disired solution accuracy with the minimum number of computational points. Unfortunately, rigorous error estimators for controlling the adapt ion process are not available for systems. n , an error estimator was developed and rigorous a posteriori error estimators could be proved [5]. For discontinuous Galerkin methods a similar result was published in [1]. In order to describe the result in [5] let us assume that the data Uo and f are sufficiently smooth, that the triangulation is regular and that the numerical flux gjl is consistent, Lipschitz continuous and for all u, v E ffi.

Pseudo-arclength continuation is used for continuation of a selected parameter. The resulting system of nonlinear equations is solved by a Newton-Chord iteration. 1, we select the Damkohler number Ll as continuation parameter and keep the other parameters fixed (Pe = 1000). 2. 91. The computation is started at Ll = 0 with the trivial solution T == 1, Y == 1. The resulting bifurcation diagram is shown in Fig. 2. We use the maximum temperature as a measure in the diagram. The solution branch in Fig.

Methods and Software 1, 1992, 35-54 3. : On automatic differentiation. In Mathematical Programming: Recent Developments and Applications, M. Iri and K. , Kluwer Academic Publishers, Amsterdam, 1989, 83-108 4. : Treeverse: An implementation of checkpointing for the reverse or adjoint mode of computational differentiation. Preprint IOKOMO-04-1997, Technische Universitat Dresden, 1997, (submitted) 5. : History of automatic differentiation and rounding error estimation. In Automatic Differentiation of Algorithms: Theory, Implementation, and Application, A.

### High Performance Scientific and Engineering Computing: Proceedings of the International FORTWIHR Conference on HPSEC, Munich, March 16-18, 1998 by M. Altieri, Chr. Becker, S. Turek (auth.), Hans-Joachim Bungartz, Franz Durst, Christoph Zenger (eds.)

by Ronald

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