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The NAG Library has C++ API; NTL is a C++ library for number theory. OpenFOAM is an open-source C++ library for solving partial differential equations in computational fluid dynamics (CFD). SU2 code is an open-source library for solving partial differential equations with the finite volume or finite element method.
Fastor is a high performance tensor (fixed multi-dimensional array) library for modern C++. GNU Scientific Library [6] GNU Project C, C++ 1996 2.7.1 / 11.2021 Free GPL: General purpose numerical analysis library. Includes some support for linear algebra. IMSL Numerical Libraries: Rogue Wave Software: C, Java, C#, Fortran, Python 1970 many ...
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As work of US governmental organization the algorithm and source code have been released to the public domain around 1998. [1] JAMA has had little development since the year 2000, [2] with only the occasional bug fix being released.
Automatically Tuned Linear Algebra Software (ATLAS) is a software library for linear algebra. It provides a mature open source implementation of BLAS APIs for C and FORTRAN 77. ATLAS is often recommended as a way to automatically generate an optimized BLAS library.
aaa is a one- to three-letter code describing the actual algorithm implemented in the subroutine, e.g. SV denotes a subroutine to solve linear system, while R denotes a rank-1 update. For example, the subroutine to solve a linear system with a general (non-structured) matrix using real double-precision arithmetic is called DGESV . [ 2 ] : "
An IDE that provides static code analysis for C/C++ both in the editor environment and from the compiler command line. Also includes the .NET Compiler Platform (Roslyn) which provides C# and VB.NET analysis. Yasca (retired) 2010-11-01 (2.21) Yes; multiple licenses — C, C++ Java JavaScript — — ASP, PHP, HTML, CSS, ColdFusion, COBOL
librsb is an open-source parallel library for sparse matrix computations using the Recursive Sparse Blocks (RSB) matrix format. librsb provides cache efficient multi-threaded Sparse BLAS operations via OpenMP , and is best suited to large sparse matrices .