## Computational Science, Mathematics, and Software: Proceedings of the International Symposium on Computational Science in Celebration of the 65th Birthday of John R. Rice, West Lafayette, Indiana, USA, 22-26 May, 1999, Volume 1The foundation of computational science is computational mathematics, and the general-purpose tools used to do computational mathematics are known as mathematical software. Computational Science, Mathematics, and Software provides an overview of the latest research in these areas. It contains 19 contributions from 30 leading researchers who participated in the International Symposium for Computational Science held at Purdue University in May 1999. They gathered to celebrate the 65th birthday of Professor John R. Rice of Purdue University, one of the true pioneers in this area. Among the topics discussed are delivery mechanisms for numerical algorithms, intelligent systems for recommending scientific software, the architecture of scientific problem-solving environments, algorithms and software for mathematical models based on partial differential equations, and techniques for exploiting vector computers, parallel computers, and the emerging information power grid. A retrospective of the first 50 years of mathematical software development is also included. |

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accuracy agent application approach approximations architecture boundary conditions coefficients collocation collocation points compiler complex components computational science constraints data mining database defined Dirichlet discretization discretization error distributed domain dynamic E. N. Houstis efficient eigenvalue elliptic engineering error evaluation example execution Figure finite element formula Fortran framework Fujitsu function gmres grid Hermite cubic IMACS implementation interface Internetics interpolation iterative J. J. Dongarra J. R. Rice Java language LAPACK libraries linear algebra linear system loop machine macro Math mathematical software matrix memory methods nodes Numerical Algorithms Group operations optimization parallel computers parameters ParMetis partial differential equations partitioning PDE solvers PELLPACK performance data polynomial POOMA preconditioner processors provides Purdue University PYTHIA-II recommendation spaces runtime scientific software selection simulation solution strategy submeshes Table technique tion values variant vector visualization

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Page 3 - Official contribution of the National Institute of Standards and Technology; not subject to copyright in the United States.