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  2. Kernel (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(linear_algebra)

    Kernel and image of a linear map L from V to W. The kernel of L is a linear subspace of the domain V. [3] [2] In the linear map :, two elements of V have the same image in W if and only if their difference lies in the kernel of L, that is, = () =.

  3. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    Theoretically, a Gram matrix with respect to {, …,} (sometimes also called a "kernel matrix" [4]), where = (,), must be positive semi-definite (PSD). [5] Empirically, for machine learning heuristics, choices of a function k {\displaystyle k} that do not satisfy Mercer's condition may still perform reasonably if k {\displaystyle k} at least ...

  4. Geometric modeling kernel - Wikipedia

    en.wikipedia.org/wiki/Geometric_modeling_kernel

    A geometric modeling kernel is a solid modeling software component used in computer-aided design (CAD) packages. [ 1 ] [ 2 ] Available modelling kernels include: ACIS is developed and licensed by Spatial Corporation of Dassault Systèmes .

  5. 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.

  6. Kernel methods for vector output - Wikipedia

    en.wikipedia.org/wiki/Kernel_methods_for_vector...

    While simple, the structure of separable kernels can be too limiting for some problems. Notable examples of non-separable kernels in the regularization literature include: Matrix-valued exponentiated quadratic (EQ) kernels designed to estimate divergence-free or curl-free vector fields (or a convex combination of the two) [8] [18]

  7. Math.NET Numerics - Wikipedia

    en.wikipedia.org/wiki/Math.NET_Numerics

    Math.NET Numerics started 2009 by merging code and teams of dnAnalytics with Math.NET Iridium. It is influenced by ALGLIB, JAMA and Boost, among others, and has accepted numerous code contributions. [1] [2] It is part of the Math.NET initiative to build and maintain open mathematical toolkits for the .NET platform since 2002. [citation needed]

  8. Course Hero buys Symbolab in a rare edtech acquisition

    www.aol.com/news/course-hero-buys-symbolab-rare...

    The 9-person Symbolab team, based in Tel Aviv, will join Course Hero . The platforms will live under independent branding for the near future, according to Andrew Grauer, CEO of Course Hero.

  9. Comparison of linear algebra libraries - Wikipedia

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

    High-performance C++ linear algebra library based on Generic programming: NAG Numerical Library: The Numerical Algorithms Group: C, Fortran 1971 many components Non-free Proprietary General purpose numerical analysis library. NMath: CenterSpace Software: C# 2003 7.1 / 12.2019 Non-free Proprietary Math and statistical libraries for the .NET ...