Computational Science - ICCS 2001 International Conference San Francisco, CA, USA, May 28-30, 2001 Proceedings, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Alexandrov, Vassil N. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dongarra, Jack J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Juliano, Benjoe A. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Renner, Rene S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tan, C.J.Kenneth (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Έκδοση: 1st ed. 2001.
• Σειρά: Lecture Notes in Computer Science, 2073
• Θέματα: Computers.; Software engineering.; Artificial intelligence.; Computer mathematics.; Computational complexity.; Theory of Computation.; Software Engineering/Programming and Operating Systems.; Information Systems and Communication Service.; Artificial Intelligence.; Computational Mathematics and Numerical Analysis.; Complexity.

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 togeth...

Πίνακας περιεχομένων:

• 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.