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  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  3. Symmetric mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Symmetric_mean_absolute...

    The earliest reference to a similar formula appears to be Armstrong (1985, p. 348), where it is called "adjusted MAPE" and is defined without the absolute values in the denominator.

  4. MathWorks - Wikipedia

    en.wikipedia.org/wiki/MathWorks

    The company sold its first order, 10 copies of MATLAB, for $500 to the Massachusetts Institute of Technology (MIT) in February 1985. [8] A few years later, Little and the company moved to Massachusetts. [6] [9] There, Little hired Jeanne O'Keefe, an experienced computer executive, to help formalize the business. [3]

  5. DIDO (software) - Wikipedia

    en.wikipedia.org/wiki/DIDO_(software)

    DIDO is primarily available as a stand-alone MATLAB optimal control toolbox. [29] That is, it does not require any third-party software like SNOPT or IPOPT or other nonlinear programming solvers. [1] In fact, it does not even require the MATLAB Optimization Toolbox. The MATLAB/DIDO toolbox does not require a "guess" to run the algorithm.

  6. Dice-Sørensen coefficient - Wikipedia

    en.wikipedia.org/wiki/Dice-Sørensen_coefficient

    The index is known by several other names, especially Sørensen–Dice index, [3] Sørensen index and Dice's coefficient.Other variations include the "similarity coefficient" or "index", such as Dice similarity coefficient (DSC).

  7. Intraclass correlation - Wikipedia

    en.wikipedia.org/wiki/Intraclass_correlation

    In statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), [1] is a descriptive statistic that can be used when quantitative measurements are made on units that are organized into groups.

  8. Radial basis function kernel - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function_kernel

    In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification.

  9. Push–relabel maximum flow algorithm - Wikipedia

    en.wikipedia.org/wiki/Push–relabel_maximum_flow...

    The concept of a preflow was originally designed by Alexander V. Karzanov and was published in 1974 in Soviet Mathematical Dokladi 15. This pre-flow algorithm also used a push operation; however, it used distances in the auxiliary network to determine where to push the flow instead of a labeling system.