An unrivalled collection of reliable, portable and rigorous mathematical and statistical algorithms used in thousands of applications world-wide.
Providing highly flexible, accurate solvers, and an expert consultancy service for mathematical optimization, aiding critical decision making on a small or grand scale.
The NAG AD Software Tools have been battle proven, at scale, in business critical applications all over the world.
The NAG Fortran Compiler is robust, highly tested, and valued by developers all over the globe for its checking capabilities and detailed error reporting.
If you need to add mathematical and statistical functionality to your applications or if you have complex mathematical problems to solve, the NAG C Library will provide a host of benefits. The NAG C Library provides a solid numerical foundation and serves diverse mathematical areas. It is expertly documented, maintained and supported and is regularly updated with cutting edge algorithmic capabilities. Learn more.
If you need to add mathematical and statistical functionality to your applications or if you have complex mathematical problems to solve, the NAG Fortran Library will provide a host of benefits. The NAG Library provides a solid numerical foundation and serves diverse mathematical areas. It is expertly documented, maintained and supported and is regularly updated with cutting edge algorithmic capabilities. Learn more.
If you need to add mathematical and statistical functionality to your applications or if you have complex mathematical problems to solve, the NAG Library for Python will provide a host of benefits. The NAG Library for Python provides a solid numerical foundation and serves diverse mathematical areas. It is expertly documented, maintained and supported, and is regularly updated with cutting edge algorithmic capabilities. Learn more.
If you need to add mathematical and statistical functionality to your applications or if you have complex mathematical problems to solve, the NAG Library for Java will provide a host of benefits. The NAG Library for Java provides a solid numerical foundation and serves diverse mathematical areas. It is expertly documented, maintained and supported and is regularly updated with cutting edge algorithmic capabilities. Learn more.
If you need to add mathematical and statistical functionality to your applications or if you have complex mathematical problems to solve, the NAG Toolbox for MATLAB will provide a host of benefits. The NAG Toolbox for MATLAB provides a solid numerical foundation and serves diverse mathematical areas. It is expertly documented, maintained and supported, and is regularly updated with cutting edge algorithmic capabilities.Learn more.
The NAG Library for .NET contains mathematical and statistical methods developed by NAG experts to serve the growing number of application developers and users of Microsoft .NET. The methods in the Library provide a convenient interface to fast and efficient algorithms that enhance application capabilities and reduce crucial development time. Learn more.
The suite contains the following components:
The NAG Library has been developed in conjunction with Intel to harness the performance of the Intel Xeon Phi™ family. For the coprocessor many of the algorithms in the Library are tuned to run significantly faster both in offload or native modes. For the processor the Library has been ported to use the full Xeon Phi processor functionality. Learn more.
One of the major benefits of the NAG Library is its inherent flexibility; it can be used by programmers developing in traditional languages, or by users of modern software packages and programming environments, like Microsoft Excel. To make using the NAG Library easy, we provide the Library as a Dynamic Link Library (DLL). Despite the relatively simple methods of linking to the Library from Excel, it is important to note that to gain benefit from NAG routines in this manner you will need to be capable of programming in either Microsoft Visual Basic for Applications (VBA) or Visual Studio for Office (VSTO). Learn more.
The NAG Library for SMP & Multicore is the largest commercial numerical algorithm library developed to harness the huge performance gains from the shared memory parallelism of Symmetric Multi-Processors (SMP) and multicore processors. Many of the algorithms, or routines, in the Library are specifically tuned to run significantly faster on multi-socket and multicore systems.