Combinatorial scientific computing
Foreword the ongoing era of high-performance computing is filled with enormous potential for scientific simulation, but also with daunting challenges. Architectures for high-performance computing may have thousands of processors and complex memory hierarchies paired with a relatively poor interconne...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
2012.
Boca Raton, Fla. : 2012. |
| Edición: | 1st ed |
| Colección: | Chapman & Hall/CRC computational science series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634706406719 |
Tabla de Contenidos:
- Front Cover; Contents; Foreword; Editors; Contributors; 1. Combinatorial Scientific Computing: Past Successes, Current Opportunities, Future Challenges; 2. Combinatorial Problems in Solving Linear Systems; 3. Combinatorial Preconditioners; 4. A Scalable Hybrid Linear Solver Based on Combinatorial Algorithms; 5. Combinatorial Problems in Algorithmic Differentiation; 6. Combinatorial Problems in OpenAD; 7. Getting Started with ADOL-C; 8. Algorithmic Differentiation and Nonlinear Optimization for an Inverse Medium Problem; 9. Combinatorial Aspects/Algorithms in Computational Fluid Dynamics
- 10. Unstructured Mesh Generation11. 3D Delaunay Mesh Generation; 12. Two-Dimensional Approaches to Sparse Matrix Partitioning; 13. Parallel Partitioning, Coloring, and Ordering in Scientific Computing; 14. Scotch and PT-Scotch Graph Partitioning Software: An Overview; 15. Massively Parallel Graph Partitioning: A Case in Human Bone Simulations; 16. Algorithmic and Statistical Perspectives on Large-Scale Data Analysis; 17. Computational Challenges in Emerging Combinatorial Scientific Computing Applications; 18. Spectral Graph Theory; 19. Algorithms for Visualizing Large Networks
