## High Performance Scientific and Engineering Computing: Proceedings of the International FORTWIHR Conference on HPSEC, Munich, March 16–18, 1998Hans-Joachim Bungartz, Franz Durst, Christoph Zenger Since the creation of the term "Scientific Computing" and of its German counterpart "Wissenschaftliches Rechnen" (whoever has to be blamed for that), scientists from outside the field have been confused about the some what strange distinction between scientific and non-scientific computations. And the insiders, i. e. those who are, at least, convinced of always comput ing in a very scientific way, are far from being happy with this summary of their daily work, even if further characterizations like "High Performance" or "Engineering" try to make things clearer - usually with very modest suc cess, however. Moreover, to increase the unfortunate confusion of terms, who knows the differences between "Computational Science and Engineering" , as indicated in the title of the series these proceedings were given the honour to be published in, and "Scientific and Engineering Computing", as chosen for the title of our book? Actually, though the protagonists of scientific com puting persist in its independence as a scientific discipline (and rightly so, of course), the ideas behind the term diverge wildly. Consequently, the variety of answers one can get to the question "What is scientific computing?" is really impressive and ranges from the (serious) "nothing else but numerical analysis" up to the more mocking "consuming as much CPU-time as possible on the most powerful number crunchers accessible" . |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

3 | |

Theory | 25 |

Numerical Bifurcation Analysis of Premixed Combustion in Porous | 38 |

Simulation of Internal and Free Turbulent Flows | 61 |

Application of Parallel Numerical Flow Solvers Invoking Advanced Turbu | 81 |

Coupled Numerical Computations of the Fluid Damped Oscillations | 102 |

Very Low Thrust Trajectory Optimization 127 | 125 |

Mechanical Multibody Systems with Deformable Components | 143 |

Application to Flow and GaAs | 267 |

Advanced Models Applications and Software Systems for High Per | 291 |

Numerical Simulation of Microstructured Semiconductor Devices Trans | 309 |

Parallel Multigrid Methods for the Continuity Equations in Semicon | 324 |

Partitioning Strategies in Circuit Simulation | 343 |

Eigenvalue Solvers for Electromagnetic Fields in Cavities | 363 |

Analysis of Electromechanical Microdevices Using Coupled FEMBEM | 387 |

Modelling and Computer | 405 |

Real Time Simulation and Online Control for Virtual Test Drives | 156 |

Flight Tests with Computer Generated Synthetic Vision | 177 |

Integrated User Environment for the Numerical Solution of Optimal | 199 |

Numerical Simulation and Optimal Control of Air Separation Plants 221 | 220 |

On the Generation and Spreading of Finger Instabilities in Film Coat | 245 |

Numerical Fluid Dynamics in Astrophysics with Smoothed Particle | 416 |

Parallel Computation of MultiDimensional Neutron and Photon Trans | 431 |

Concepts and Results | 441 |

Technological Trends and their Impact on the Future of Supercompu | 457 |

### Other editions - View all

### Common terms and phrases

adaptive adjoint algorithm analysis application approach approximation architecture AUSM automatic differentiation bandwidth boundary conditions calculated circuit coarse grid coefficient components constraints convection convergence coupling CRAY T3E crystal DAES deformation denotes density described developed devices differential equations discretization distribution domain dynamic efficient eigenvalue elastic electron energy error evaluation finite element flux formulation function geometry gradient heat implemented integration interface iteration linear systems mathematical matrix mechanical memory mesh MFLOP microburst mode motion multibody system multigrid methods München Navier-Stokes equations nodes nonlinear numerical simulation operations optimal control optimal control problem orbit ordinary differential equations parallel computers parameters partitioning pressure processors refinement Reynolds number rotation scheme Schur complement scientific computing semiconductor solution solved solver step stiff structure surface synthetic vision techniques Technische Universität München temperature three-dimensional tion trajectory turbulent unstructured grids variables vector velocity viscous voltage