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Dlib is a modern C++ library with easy to use linear algebra and optimization tools which benefit from optimized BLAS and LAPACK libraries. Eigen is a vector mathematics library with performance comparable with Intel's Math Kernel Library; Hermes Project: C++/Python library for rapid prototyping of space- and space-time adaptive hp-FEM solvers.
LAPACK was originally written in FORTRAN 77, but moved to Fortran 90 in version 3.2 (2008). [3] The routines handle both real and complex matrices in both single and double precision. LAPACK relies on an underlying BLAS implementation to provide efficient and portable computational building blocks for its routines. [2]: "
QUADPACK is a FORTRAN 77 library for numerical integration of one-dimensional functions. [2] It was included in the SLATEC Common Mathematical Library and is therefore in the public domain. [3] The individual subprograms are also available on netlib. [4] The GNU Scientific Library reimplemented the QUADPACK routines in C.
The first IMSL Library for the Fortran language was released in 1970, followed by a C-language version originally called C/Base in 1991, a Java-language version in 2002, and the C#-language version in 2004. Several recent product releases have involved making IMSL Library functions available from Python. These releases are Python wrappers to ...
SLATEC Common Mathematical Library is a FORTRAN 77 library of over 1,400 general purpose mathematical and statistical routines. The code was developed at US government research laboratories and is therefore public domain software .
ARPACK, the ARnoldi PACKage, is a numerical software library written in FORTRAN 77 for solving large scale eigenvalue problems [1] in the matrix-free fashion.. The package is designed to compute a few eigenvalues and corresponding eigenvectors of large sparse or structured matrices, using the Implicitly Restarted Arnoldi Method (IRAM) or, in the case of symmetric matrices, the corresponding ...
The application area of the library focuses on physics research, in particular high energy physics, involving general mathematics, data analysis, detectors simulation, data-handling, numerical analysis, and others, applicable to a wide range of scientific problems. Many modules are written in the FORTRAN 77 language.
The NAG Library [1] can be accessed from a variety of languages and environments such as C/C++, [2] Fortran, [3] Python, [4] AD, [5] MATLAB, [6] Java [7] and .NET. [8] The main supported systems are currently Windows, Linux and macOS running on x86-64 architectures; 32-bit Windows support is being phased out. Some NAG mathematical optimization ...