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Software Infrastructure for Computational Science

The goal of this project is to improve the environment for computational science through research in fundamental mathematical algorithms and development of well-engineered general-purpose scientific software. This research combines development and analysis of algorithms for particular mathematical problem domains with the application and advancement of underlying methodologies such as computer arithmetic, parallel computing, languages, software design, user interfaces, documentation, testing, performance evaluation, and information dissemination. The customers for our work in algorithms and in the dissemination of software and related information include both NIST scientists and engineers, as well as the science and engineering community at large. Our work in testing and evaluation methodology is of particular interest to the math software research community, as well as to developers of math software products in the commercial sector.

Highlights of this year's activities include the following.



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Next: Compression Algorithms Up: Technical Highlights Previous: Modeling in the



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