February 06, 2013
Feb. 6 – The NAG Library for Java programmers has been announced by the Numerical Algorithms Group (NAG). It provides Java developers with the latest tried and tested NAG Library routines.
This NAG Library for Java provides access to over 1,700 routines to aid researchers, engineers, scientists, business and financial analysts, and others who develop applications in Java.
Software developers writing in the popular Java language that require accurate and reliable numerical functionality are faced with a dilemma – write numerical routines yourself or source elsewhere? The NAG Library saves those working in the environment crucial development time by providing world-class quality, robust, stringently tested and fully documented numerical code in one cost effective numerical library. Why waste time writing arduous routines when the work has been done for you?
NAG Library for Java numerical routines include:
Statistical routines included in the NAG Library for Java:
More benefits of the NAG Library for Java:
Expert Support Services direct from NAG's algorithm development team - if users need help, NAG's technical staff, are on hand to offer help and assistance.
Hands-on Product Training - NAG offers a wide range of tailored training courses either at our offices or in-house, including 'hands-on' practical sessions, helping users to get the most out of their software.
Various user options are available. For more information visit http://www.nag.com/nag-library-for-java or NAG Library for Java press release inquiry.
The Numerical Algorithms Group (NAG) is dedicated to applying its unique expertise in numerical engineering to delivering high-quality computational software and high performance computing services. For over 40 years NAG experts have worked closely with world-leading researchers in academia and industry to create powerful, reliable and flexible software which today is relied on by tens of thousands of individual users, as well as numerous independent software vendors. NAG serves its customers from offices in Oxford, Manchester, Chicago, Tokyo and Taipei, through staff in France and Germany, as well as via a global network of distributors.
Source: The Numerical Algorithms Group
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