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Numerical Mathematics Consortium proposes Open Standard
for Algorithm Development

Leading Software Providers such as INRIA (Scilab Publisher), Maplesoft, Mathsoft and National Instruments Launch Consortium

Aug. 9, 2005 -- The Numerical Mathematics Consortium today announced that leading mathematics software vendors and interested individuals from industry and academia are working together to define a consistent and manageable foundation for numerical programming. The organization is committed to establishing an open mathematical semantics standard for numerical algorithm development to enable portability and reuse among tools, platforms and disciplines.

"Our industry has been lacking a unified and standardized mathematical foundation for a long time," said Ali Maleki, Brake and Chassis Electronics program manager at ArvinMeritor. "Today, each tool offers its own specific set of functions with often steep learning curves, which require us to develop algorithms and skills that are not easily portable across the industry. These algorithms must be rewritten with new projects and new technologies, which ultimately drive our costs higher. A standard set of mathematical functions based on industry-accepted semantics would go a long way in creating portable skills and off-the-shelf libraries and tools that would be plug-and-play in various environments and help our bottom line."

The founding companies of the Numerical Mathematics Consortium established the organization to create a standard specification for numeric mathematics that ensures algorithm portability and reuse across platforms and applications. The organization's objective is to create a specification that defines core mathematical function definitions applicable to numeric algorithms. These algorithms can then be implemented in a wide variety of application areas such as industrial control, embedded design and scientific research, as well as be easily shared among researchers and developers in industry and academia.

Numerical Mathematics Consortium founding members include INRIA (Scilab Publisher), Maplesoft, Mathsoft and National Instruments (Nasdaq: NATI). Numerous individuals from leading industry and academia are supporting the consortium in an advisory role to provide review and guidance on the development of these technical standards. Other vendors and individuals interested in taking an active role in standardizing numerical mathematics can visit the Web site at www.nmconsortium.org for information on joining the consortium.

"With the industry-standard specification developed by the Numerical Mathematics Consortium, students can create algorithms that are compatible with common functionality in traditional tools and feel confident that their designs will work properly in other math environments," said Dr. Robert H. Bishop, professor and chairman of the University of Texas Aerospace Engineering and Engineering Mechanics Department. "In addition, with an established numerical mathematics standard, I can ensure that my students are learning with the same tools and approaches that they will encounter in industry."

About the Numerical Mathematics Consortium

The Numerical Mathematics Consortium is a nonprofit organization comprised of vendors and individuals in industry and academia committed to establishing an open mathematical semantics standard for numerical algorithm development and reuse. Focused on reducing the overall cost of numerical algorithm development and reuse in different disciplines, the Numerical Mathematics Consortium is committed to ensuring algorithm portability through standardizing core mathematical definitions, algorithm interchangeability and function semantics. The consortium's charter document, founding member companies and testimonials from advisors and member companies are available at www.nmconsortium.org. Vendors and individuals interested in taking an active role in standardizing numerical mathematics also can visit the Web site for information on joining the consortium.


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See the declaration of Gilles Kahn, Chairman and CEO of INRIA.