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  2. Matrix Template Library - Wikipedia

    en.wikipedia.org/wiki/Matrix_Template_Library

    Platform-independent performance scalability is reached by recursive data structures and algorithms. [2] Generic applications can be written in a natural notation, e.g. v += A*q - w;, while the library dispatches to the appropriate algorithms: matrix vector products vs. matrix products vs. vector scalar products etcetera. The goal is to ...

  3. Comparison of linear algebra libraries - Wikipedia

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

    Blitz++ is a C++ template class library that provides high-performance multidimensional array containers for scientific computing. Boost uBLAS J. Walter, M. Koch C++ 2000 1.84.0 / 12.2023 Free Boost Software License uBLAS is a C++ template class library that provides BLAS level 1, 2, 3 functionality for dense, packed and sparse matrices. Dlib

  4. Eigen (C++ library) - Wikipedia

    en.wikipedia.org/wiki/Eigen_(C++_library)

    Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers and related algorithms. . Eigen is open-source software licensed under the Mozilla Public License 2.0 since version 3.1

  5. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    Armadillo is a C++ linear algebra library (matrix and vector maths), aiming towards a good balance between speed and ease of use. [1] It employs template classes, and has optional links to BLAS and LAPACK. The syntax is similar to MATLAB. Blitz++ is a high-performance vector mathematics library written in C++.

  6. Basic Linear Algebra Subprograms - Wikipedia

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

    Here, the traditional BLAS functions provide typically good performance for large matrices. However, when computing e.g., matrix-matrix-products of many small matrices by using the GEMM routine, those architectures show significant performance losses. To address this issue, in 2017 a batched version of the BLAS function has been specified. [52]

  7. Thomas Gilbert (engineer) - Wikipedia

    en.wikipedia.org/wiki/Thomas_Gilbert_(engineer)

    Conjointly using these two models in a 2x3 matrix (P = B × E to create a top and bottom row, and the ABC model to create three columns across each of the two rows), Gilbert identified six variables which he believed were necessary to improve human performance: information, resources, incentives, knowledge, capacity, and motives.

  8. NFL Winners and Losers: Buccaneers flirt with disaster, but ...

    www.aol.com/sports/nfl-winners-losers-buccaneers...

    The NFC South isn't exactly charging into the playoffs. History won't remember that, only that the Tampa Bay Buccaneers got the job done. It was far from the sure thing it was supposed to be.

  9. Balanced scorecard - Wikipedia

    en.wikipedia.org/wiki/Balanced_scorecard

    Broadly, the original 'measures in four boxes' type design (as initially proposed by Kaplan & Norton [5]) constitutes the 1st generation balanced scorecard design; balanced scorecard designs that include a 'strategy map' or 'strategic linkage model' (e.g. the Performance Prism, [29] later Kaplan & Norton designs, [17] and the Performance Driver ...

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