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  2. Comparison of linear algebra libraries - Wikipedia

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

    C++ template library; binds to optimized BLAS such as the Intel MKL; Includes matrix decompositions, non-linear solvers, and machine learning tooling Eigen: Benoît Jacob C++ 2008 3.4.0 / 08.2021 Free MPL2: Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Fastor [5]

  3. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    ML.NET is a free software machine learning library for the C# programming language. [3] [4] The NAG Library has C# API. Commercially licensed. NMath by CenterSpace Software: Commercial numerical component libraries for the .NET platform, including signal processing (FFT) classes, a linear algebra (LAPACK & BLAS) framework, and a statistics package.

  4. Math.NET Numerics - Wikipedia

    en.wikipedia.org/wiki/Math.NET_Numerics

    Matrix IO classes that read and write matrices from/to Matlab and delimited files. Complex number arithmetic and trigonometry. “Special” routines including the Gamma, Beta, Erf, modified Bessel and Struve functions. Interpolation routines, including Barycentric, Floater-Hormann. Linear Regression/Curve Fitting routines.

  5. Rijndael MixColumns - Wikipedia

    en.wikipedia.org/wiki/Rijndael_MixColumns

    void gmix_column (unsigned char * r) {unsigned char a [4]; unsigned char b [4]; unsigned char c; unsigned char h; /* The array 'a' is simply a copy of the input array 'r' * The array 'b' is each element of the array 'a' multiplied by 2 * in Rijndael's Galois field * a[n] ^ b[n] is element n multiplied by 3 in Rijndael's Galois field */ for (c = 0; c < 4; c ++) {a [c] = r [c]; /* h is set to ...

  6. C Sharp (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_(programming_language)

    C# (/ ˌ s iː ˈ ʃ ɑːr p / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms.C# encompasses static typing, [16]: 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16]: 22 object-oriented (class-based), and component-oriented programming disciplines.

  7. Jagged array - Wikipedia

    en.wikipedia.org/wiki/Jagged_array

    Examples. In C# and Java [5] ... are not native but one can use list comprehensions to create a multi-dimensional list which supports any dimensional matrix: [8]

  8. Sparse matrix - Wikipedia

    en.wikipedia.org/wiki/Sparse_matrix

    For example, CSC is (val, row_ind, col_ptr), where val is an array of the (top-to-bottom, then left-to-right) non-zero values of the matrix; row_ind is the row indices corresponding to the values; and, col_ptr is the list of val indexes where each column starts. The name is based on the fact that column index information is compressed relative ...

  9. Transformation matrix - Wikipedia

    en.wikipedia.org/wiki/Transformation_matrix

    In other words, the matrix of the combined transformation A followed by B is simply the product of the individual matrices. When A is an invertible matrix there is a matrix A −1 that represents a transformation that "undoes" A since its composition with A is the identity matrix. In some practical applications, inversion can be computed using ...