Showing 8 open source projects for "linux applications"

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  • 1
    MaxFEM

    MaxFEM

    Software for electromagnetic simulation

    MaxFem is an open software package for electromagnetic simulation by using finite element methods. The package can solve problems in electrostatics, direct current, magnetostatics and eddy-currents. Since version 0.4.0, MaxFEM requires Python 3. We have moved the installers to the MaxFEM website (see below). In order to improve MaxFEM, we will require you to fill out a simple form before downloading them.
    Downloads: 1 This Week
    Last Update:
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  • 2
    The Generic Graphics Toolkit is a library of generic programming primitives that allow applications to be written that adapt to whatever underlying graphics system the developer is using.
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    Downloads: 11 This Week
    Last Update:
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  • 3
    The MeqTree project provides a modelling, simulation and calibration toolkit aimed at (but not exclusive to) radioastronomical applications.
    Downloads: 0 This Week
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  • 4
    Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.
    Downloads: 0 This Week
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  • 5
    This project contains applications which allow the user the draw the common geometry graphics (both 2D and 3D) which is available from the library.
    Downloads: 0 This Week
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  • 6
    C++ and Python based open source graph visualization and analysis software, primarily intended for use in the analysis of social networks (other applications are also conceivable).
    Downloads: 0 This Week
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  • 7
    Function graph drawing/rendering application for use with audio applications. Exports .wav files. Dependencies: wxPython & Numeric(not in 1.10)
    Downloads: 4 This Week
    Last Update:
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  • 8

    RISO: distributed belief networks

    Distributed, heterogeneous Bayesian belief networks

    RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
    Downloads: 1 This Week
    Last Update:
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