NAG Numerical & Statistical Routines within MATLAB


NAG (The Numerical Algorithms Group) are running a training session on how to make the most of their numerical and statistical routines within MATLAB.  The NAG Library, and Fortran Compiler, are available to University of Manchester staff and students for use on both institutional and personal machines for academic use under a site-wide license.

The Library is accessible from several computing environments, including standard languages such as Fortran, C, C++, Python, Java, C# and Visual Basic, as well as packages like MATLAB and Excel.

The training session will provide an overview of the NAG Numerical Library as a comprehensive collection of mathematical and statistical algorithms, focusing on the use of the NAG Toolbox for MATLAB. It will demonstrate the NAG Library’s applicability to the solution of a number of numerical problems, including:

  • Local and global optimization;
  • Curve and surface fitting;
  • Statistical analysis of data;
  • Calculation of the nearest correlation matrix;
  • and many others.

It includes a number of hands-on exercises to facilitate attendees’ familiarity with the workings and functionality of NAG algorithms.

The training session will take place on Thurs 15th Dec in the Sackville Street Building.  For full details and to register for the session please visit the event page.

To find out more about NAG’s offering to the University of Manchester see the dedicated UoM page on their website.


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