Vassil N. Alexandrov / Jack J. Dongarra / Benjoe A. Juliano / Rene S. Renner / C.J.Kenneth Tan (eds.)

Computational Science ¿ ICCS 2001

International Conference San Francisco, CA, USA, May 28¿30, 2001 Proceedings, Part I
Herausgegeben:Alexandrov, Vassil N.; Dongarra, Jack J.; Juliano, Benjoe A.; Renner, Rene S.; Tan, C.J.Kenneth

• Broschiertes Buch

Produktbeschreibung

LNCS volumes 2073 and 2074 contain the proceedings of the International Conference on Computational Science, ICCS 2001, held in San Francisco, California, May 27 -31, 2001. The two volumes consist of more than 230 contributed and invited papers that reflect the aims of the conference to bring together researchers and scientists from mathematics and computer science as basic computing disciplines, researchers from various application areas who are pioneering advanced application of computational methods to sciences such as physics, chemistry, life sciences, and engineering, arts and humanitarian fields, along with software developers and vendors, to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research, as well as to help industrial users apply various advanced computational techniques.

Produktdetails

• Lecture Notes in Computer Science 2073
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-42232-7
• 2001
• Seitenzahl: 1368
• Erscheinungstermin: 24. Mai 2001
• Englisch
• Abmessung: 235mm x 155mm x 74mm
• Gewicht: 1620g
• ISBN-13: 9783540422327
• ISBN-10: 3540422323
• Artikelnr.: 24490659

Inhaltsangabe

Invited Paper.- Architecture-Specific Automatic Performance Tuning.- Climate Modeling.- Global Computing - Internals and Usage.- Collaborative Computing.- Complex Physical System Simulation.- Computational Chemistry.- Computational Finance.- Computational Geometry and Applications.- Computational Methods.- Computational Models of Natural Language Arguments.- Computational Physics in the Undergraduate Curriculum.- Computational Science Applications and Case Studies.- Computational Science Education: Standards, Learning Outcomes and Assesment Techniques.- High Performance and Parallel Computing in Manufacturing and Testing Environments.- Monte Carlo Numerical Methods.