Electronics and electrical engineers, many of whom are already contending with slower performance of legacy applications originally developed for 32-bit processors that are now operating in 64-bit systems or supercomputer-level resources, can now obtain a white paper tailored for concerns of electronics engineers--“The Benefits of Using Rigorously Tested Routines from Numerical Libraries—Electronics Engineering Edition”

Shanghai University (part of the consortium to extend the Chinese aerospace industry) announces a strategic partnership with the Numerical Algorithms Group ( NAG, www.nag.com). The collaboration will utilize a high performance computing platform for key Computational Fluid Dynamics (CFD) research which is essential in order to achieve the civilian aircraft industry targets established in the Chinese government’s “Long-term Scientific and Tech...

Electrical engineers and electronic products’ designers and manufacturers who develop applications in the Microsoft® .NET environment and program in C#, Visual Basic, Visual C++ or F# can now incorporate the methods from one of the most extensively tested and comprehensively documented numerical libraries in the world, The NAG Library, by using a new version developed specifically for that environment (http://www.nag.com/numeric/DT/DTdescripti...

The largest commercially available collection of numerical algorithms for C and C++---NAG C Library—widely used for electronics application development, has now been expanded by the Numerical Algorithms Group (NAG) with the addition of over 150 functions for a total of well over 1300 user-callable functions many of which are key to embedded products development, chip design, and other areas of electronics research --- http://www.nag.co.uk/numer...

Worldwide electronic engineers seeking the most appropriate way to solve difficult optimization problems can get easy to follow step-by-step instructions on how to select the best-suited local or global optimization routines, from the Numerical Algorithms Group (NAG) Library, by making use of the Decision Trees for optimization.

Electronics engineers designing embedded systems and other electronics design projects who are interested in achieving top performance from GPUs in diverse applications using Monte Carlo simulations can now obtain an updated version of NAG numeric routines for GPUs from the Numerical Algorithms Group (NAG) .

Electrical engineers and electronic products’ designers and manufacturers seeking a broad range of mathematical and statistical functionality important to chip design, product engineering and other electronics applications without the considerable expense and bother of sourcing multiple MATLAB toolboxes, can now access 1,415 rigorously tested numerical routines in the Mark 22 Release of the multipurpose NAG TOOLBOX FOR MATLAB.