Mathematics and Computers in Simulation 81 (2010) 589 Preface Applied Scientific Computing VII. Forward Numerical Grid Generation, Approximation and Simulation We are very glad to introduce this issue that collects papers describing new developments and extensions of topics and results presented at
Applied scientific computing: Grid generation and field simulation
β Scribed by Francesca Pistella; Rosa Maria Spitaleri; Bharat K. Soni
- Book ID
- 104042449
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 63 KB
- Volume
- 78
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
β¦ Synopsis
Applied scientific computing: Grid generation and field simulation
This issue presents new advances and state-of-the-art in scientific computing involving numerical grid generation and field simulation methodologies, algorithms and applications. The papers included represent recent developments and extension of invited contributions to scientific events held in 2005. To give a flash on meetings we organized in that year we recall that:
β’ an invited session on Numerical Grid Generation and Field Computing was organized in July, in conjunction with the 17th IMACS World Conference held in Paris, France; the group of invited speakers included worldwide expert in grid generation and computational simulations; β’ in October, sponsored by the European Atelier for Engineering and Computational Sciences (EUA4X), the training course State-of-the-Art in Numerical Grid Generation-From Theory to Practice (EUA4X#8), was organized in Lecce, and provided an opportunity for young researchers to gain excellent experience and meaningful exposure in this critical area of scientific computing; β’ the fifth workshop MASCOT -Meeting on Applied Scientific Computing and Tools -Grid Generation, Approximation and Visualization, was organized as guest event in TCN-
π SIMILAR VOLUMES
We describe a numerical technique to generate logically rectangular body-fitted interior and exterior grids. The technique is based on solving a Hamilton-Jacobi-type equation for a propagating level set function, using techniques borrowed from hyperbolic conservation laws. Coordinate grid lines are