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The Numerical Algorithms Group (NAG) is a software and services company which provides methods for the solution of mathematical and statistical problems, and offers services to users of High performance computing (HPC) systems. Its products and services are employed by tens of thousands of users from Global 500 companies, universities, supercomputing sites and numerous independent software vendors. As a not-for-profit organization, NAG reinvests its surpluses into the research and development of its products and services, and the fostering of new numerical and scientific talent. NAG serves its customers from offices in Oxford, Manchester, Chicago, and Tokyo, through staff in France and Germany, and via a global network of distributors.
NAG was founded by Brian Ford, Joan E. Walsh, and others in 1970 as the Nottingham Algorithms Group, a collaborative venture between the universities of Birmingham, Leeds, Manchester, Nottingham and Oxford, and the Atlas Computer Laboratory (now part of the Rutherford Appleton Laboratory). The original aim of the project was the development of a library of numerical and statistical subroutines for the ICL 1906A and 1906S machines which were in use at each of these sites. Code and algorithms for the library were contributed to the project by experts in the project, and elsewhere (for example, some of the linear algebra code was written by Jim Wilkinson, who was an early supporter of the NAG project).
The project attracted the attention of universities with other types of computers and the second release of the library was implemented on new platforms. The project moved from Nottingham to Oxford University in 1973, when its name was changed to The Numerical Algorithms Group. NAG Ltd was founded as a not-for-profit company in 1976, with Joan E. Walsh as chair, and celebrated the fortieth anniversary of the NAG project in 2010. [1] [2]
The NAG Library [3] is the oldest and best-known product of NAG. Originally produced in 1971, the current version contains more than 1,700 routines and is used by developers to add mathematical and statistical functionality to their applications, or to solve complicated mathematical problems. The Library includes routines for:
The original version of the NAG Library was written in Fortran and Algol 60; the Fortran implementation NAG Fortran Library is still available today, along with the NAG Library for C NAG C Library, NAG Library for .NET.NAG Library for .NET and the NAG Library for Python. The Library is accessible from several computing environments, including standard languages such as C, C++, Fortran, Visual Basic, Java, F# and C#, as well as packages such as MATLAB, R, LabVIEW and Excel.
Two further versions of the NAG Library are aimed at multiprocessor machines: the NAG Library for SMP & multicore, NAG Library for SMP & multicore which takes advantage of the shared memory parallelism of Symmetric Multi-Processors (SMP) and multicore processors, and the NAG Parallel Library,NAG Parallel Library which is designed for distributed memory parallel computers.
The NAG Fortran Compiler [4] is available on Linux, Mac and Microsoft Windows. Based on the world's first Fortran 90 compiler (which was developed by NAG), it supports the full Fortran 2003 language, almost all of Fortran 2008, as well as many Fortran 2018 features.
This section contains content that is written like an advertisement .(March 2020) |
NAG provide numerical services [5] in the areas of Mathematical Optimisation and Algorithmic Differentiation [6] and are global specialists[ peacock prose ] in high performance computing consulting and services. [7]
The current Chief Executive Officer of NAG is Adrian Tate. [8]
Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis. Numerical analysis finds application in all fields of engineering and the physical sciences, and in the 21st century also the life and social sciences, medicine, business and even the arts. Current growth in computing power has enabled the use of more complex numerical analysis, providing detailed and realistic mathematical models in science and engineering. Examples of numerical analysis include: ordinary differential equations as found in celestial mechanics, numerical linear algebra in data analysis, and stochastic differential equations and Markov chains for simulating living cells in medicine and biology.
LAPACK is a standard software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition. LAPACK was originally written in FORTRAN 77, but moved to Fortran 90 in version 3.2 (2008). The routines handle both real and complex matrices in both single and double precision.
Computational science, also known as scientific computing or scientific computation (SC), is a field in mathematics that uses advanced computing capabilities to understand and solve complex problems. It is an area of science that spans many disciplines, but at its core, it involves the development of models and simulations to understand natural systems.
The NAG Numerical Library is a software product developed and sold by The Numerical Algorithms Group. It is a software library of numerical analysis routines, containing more than 1,900 mathematical and statistical algorithms. Areas covered by the library include linear algebra, optimization, quadrature, the solution of ordinary and partial differential equations, regression analysis, and time series analysis.
The Galahad library is a thread-safe library of packages for the solution of mathematical optimization problems. The areas covered by the library are unconstrained and bound-constrained optimization, quadratic programming, nonlinear programming, systems of nonlinear equations and inequalities, and non-linear least squares problems. The library is mostly written in the Fortran 90 programming language.
MINPACK is a library of FORTRAN subroutines for the solving of systems of nonlinear equations, or the least-squares minimization of the residual of a set of linear or nonlinear equations.
Numerical linear algebra, sometimes called applied linear algebra, is the study of how matrix operations can be used to create computer algorithms which efficiently and accurately provide approximate answers to questions in continuous mathematics. It is a subfield of numerical analysis, and a type of linear algebra. Computers use floating-point arithmetic and cannot exactly represent irrational data, so when a computer algorithm is applied to a matrix of data, it can sometimes increase the difference between a number stored in the computer and the true number that it is an approximation of. Numerical linear algebra uses properties of vectors and matrices to develop computer algorithms that minimize the error introduced by the computer, and is also concerned with ensuring that the algorithm is as efficient as possible.
Leslie Fox was a British mathematician noted for his contribution to numerical analysis.
The J. H. Wilkinson Prize for Numerical Software is awarded every four years to honor outstanding contributions in the field of numerical software. The award is named to commemorate the outstanding contributions of James H. Wilkinson in the same field.
Lis is a scalable parallel software library for solving discretized linear equations and eigenvalue problems that mainly arise in the numerical solution of partial differential equations by using iterative methods. Although it is designed for parallel computers, the library can be used without being conscious of parallel processing.
The Sidney Fernbach Award established in 1992 by the IEEE Computer Society, in memory of Sidney Fernbach, one of the pioneers in the development and application of high performance computers for the solution of large computational problems as the Division Chief for the Computation Division at Lawrence Livermore Laboratory from the late 1950s through the 1970s. A certificate and $2,000 are awarded for outstanding contributions in the application of high performance computers using innovative approaches. The nomination deadline is 1 July each year.
Artelys Knitro is a commercial software package for solving large scale nonlinear mathematical optimization problems.
Joan Eileen Walsh (1932–2017) was a British mathematician, a professor of numerical analysis at the University of Manchester, and the founding chair of the Numerical Algorithms Group. She was the first female professor of mathematics in the UK.
Validated numerics, or rigorous computation, verified computation, reliable computation, numerical verification is numerics including mathematically strict error evaluation, and it is one field of numerical analysis. For computation, interval arithmetic is used, and all results are represented by intervals. Validated numerics were used by Warwick Tucker in order to solve the 14th of Smale's problems, and today it is recognized as a powerful tool for the study of dynamical systems.
INTLAB is an interval arithmetic library using MATLAB and GNU Octave, available in Windows and Linux, macOS. It was developed by S.M. Rump from Hamburg University of Technology. INTLAB was used to develop other MATLAB-based libraries such as VERSOFT and INTSOLVER, and it was used to solve some problems in the Hundred-dollar, Hundred-digit Challenge problems.