Worldwide environmental engineers seeking the most appropriate way for protecting the environment from industrial processes, designing environmental remediation methods and similar computationally-intensive aspects of environmental research and engineering 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 (www.nag.co.uk/market/techtip027.asp).
NAG, a not-for-profit numerical software development organisation, devotes significant R&D resources to continually advance methods for solving optimisation problems and similar computational challenges. The NAG Decision Trees are part of the documentation for one of the most rigorously tested and documented sets of optimisation routines and other mathematical and statistical algorithms in the world, collected into the Numerical Algorithms Group Library (www.nag.co.uk/numeric/numerical_libraries.asp). The NAG Library of routines, including the optimisation chapters, can be called from diverse environments such as C++, Fortran, MATLAB and R.
Many of those who use NAG’s routines, as the building blocks of their applications, rely on the knowledge base in NAG’s exhaustive documentation as a part of the ‘future-proofing’ of their application development investments. The Decision Trees, which are a feature of this documentation, are especially useful in helping both new and experienced users to select the appropriate routine for the problem at hand in a matter of minutes.
With origins in several UK universities, the Numerical Algorithms Group (NAG, www.nag.com), has its headquarters in Oxford, and collaborates with world-leading researchers and practitioners in academia and industry.