Numerical Algorithms Group (NAG)
For nearly 30 years, hundreds of the world's top computer
scientists have collaborated with Numerical Algorithms Group (NAG)
of Oxford, UK, to bring breakthroughs in computer science to bear on the
world of technical computing. Although largely unrecognised by the non-technical
audience, their work has had vast impact on users of supercomputers and
small desktop units alike. Today, virtually everyone who uses computers
for statistical, scientific, or engineering applications is touched by
NAG innovation.
Thousands of professionals in virtually every industrial or scientific
field have relied on NAG's numerical and statistical software.
Intel's Math Kernel Library and countless other technical computing applications
contain technology from the Numerical Algorithms Group. NAG code is everywhere.
By mastering the complexities of numeric analysis and software development,
NAG creates practical, robust, accurate and reliable tools for technical
computing. Ultimately, these tools help create optimized stock portfolios,
reveal unexpected insights from market data, reduce hurricane damage,
design cars and profitably find oil reserves.
As computers evolve, technical computing requirements grow ever more complex.
NAG Libraries are regularly updated, fully documented and supported, and
designed for portability. What ever the future holds, organizations can
rely on NAG for their continuing numerical and statistical software needs.
To ensure optimal performance and portability the NAG software utilizes
standard building blocks such as the Basic Linear Algebra Subprograms
(BLAS). Today, nearly all commercially available software packages with
numeric components conform to these standards that NAG was involved in
developing and promoting.
Now NAG technology has been integrated with the world's
most advanced symbolic maths engine to bring you - Maple
For more information about NAG, go to http://www.nag.com
For information on Intel's implemen-tation of BLAS, see
http:// developer.intel.com/vtune/ perflibst/mkl/index.htm.
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(NAG)