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  2. Comparison of linear algebra libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_linear...

    Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Fastor [5] R. Poya, A. J. Gil and R. Ortigosa C++ 2016 0.6.4 / 06.2023 Free MIT License: Fastor is a high performance tensor (fixed multi-dimensional array) library for modern C++. GNU Scientific Library [6] GNU Project C, C++ 1996

  3. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_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. IML++ is a C++ library for solving linear systems of equations, capable of dealing with dense, sparse, and distributed matrices.

  4. Standard Template Library - Wikipedia

    en.wikipedia.org/wiki/Standard_Template_Library

    It is implemented in the C++ standard library as forward_list. deque (double-ended queue) a vector with insertion/erase at the beginning or end in amortized constant time, however lacking some guarantees on iterator validity after altering the deque. Container adaptors queue: Provides FIFO queue interface in terms of push / pop / front / back ...

  5. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    C++, C#, Python, FreePascal 2006 3.19.0, June 2022 Dual licensed GPL/commercial General purpose numerical analysis library. Cross-platform (Windows, *nix). Armadillo: NICTA: C++ 2009 3.900, 2013 Free MPL: C++ template library for linear algebra; includes various decompositions and factorisations; syntax is similar to MATLAB. GNU Scientific Library

  6. Sequence container (C++) - Wikipedia

    en.wikipedia.org/wiki/Sequence_container_(C++)

    The following containers are defined in the current revision of the C++ standard: array, vector, list, forward_list, deque. Each of these containers implements different algorithms for data storage, which means that they have different speed guarantees for different operations: [1] array implements a compile-time non-resizable array.

  7. Basic Linear Algebra Subprograms - Wikipedia

    en.wikipedia.org/wiki/Basic_Linear_Algebra...

    Optimized for most modern CPUs. BLIS is a complete refactoring of the GotoBLAS that reduces the amount of code that must be written for a given platform. [28] [29] C++ AMP BLAS The C++ AMP BLAS Library is an open source implementation of BLAS for Microsoft's AMP language extension for Visual C++. [30] cuBLAS

  8. Curiously recurring template pattern - Wikipedia

    en.wikipedia.org/wiki/Curiously_recurring...

    For example, a container defined as std::vector<Shape*> does not work because Shape is not a class, but a template needing specialization. A container defined as std::vector<Shape<Circle>*> can only store Circles, not Squares. This is because each of the classes derived from the CRTP base class Shape is a unique type.

  9. Dynamic array - Wikipedia

    en.wikipedia.org/wiki/Dynamic_array

    C++'s std::vector and Rust's std::vec::Vec are implementations of dynamic arrays, as are the ArrayList [25] classes supplied with the Java API [26]: 236 and the .NET Framework. [27] [28]: 22 The generic List<> class supplied with version 2.0 of the .NET Framework is also implemented with dynamic arrays.