Showing 5 open source projects for "java open source"

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  • 1
    Mathpaqs

    Mathpaqs

    A collection of mathematical packages in pure Ada

    Various mathematical packages including algebra, finite elements, random variables, probability dependency models, unlimited integers. Pure Ada, fully portable. More information on... http://mathpaqs.sf.net Alire crate: https://alire.ada.dev/crates/mathpaqs Mirror: https://github.com/zertovitch/mathpaqs
    Downloads: 8 This Week
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  • 2
    HungarianAlgorithm

    HungarianAlgorithm

    An Ada implementation of the Hungarian Algorithm to minimize cost

    The Hungarian algorithm can be described as optimally solving a workers versus jobs assignment problem that minimizes total cost. This implementation assumes a square cost matrix, i.e. the number of jobs equals the number of workers to do them.
    Downloads: 0 This Week
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  • 3
    IntervalRpnCalculator

    IntervalRpnCalculator

    An HP RPN calculator with interval output

    This terminal app runs on PCs or laptops running OSX or GNU/Linux. It attempts to mimic the functionality of an HP ReversePolishNotation [RPN] calculator with the added enhancement of interval output. So along with your answer, you get a good idea of its trustworthiness. This app uses GAOL, a C++ library to perform arithmetic with floating-point intervals.
    Downloads: 0 This Week
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  • 4
    Interval arithmetic for Ada

    Interval arithmetic for Ada

    An implementation of interval arithmetic

    The library provides an implementation of intervals for Ada. It includes arithmetic and relational operations. The library supports intervals with integer and floating-point bounds. Dimensioned intervals are also supported
    Downloads: 0 This Week
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    Field Sales+ for MS Dynamics 365 and Salesforce

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  • 5
    AdaAutoDiff

    AdaAutoDiff

    C++ Templates and Ada Package for Automatic Differentiation

    Operators are overloaded so that a normal looking function definition provides access to not only evaluations of itself, but to evaluations of any of its analytic derivatives. Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime. First order derivatives only, forward...
    Downloads: 0 This Week
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