Showing 6 open source projects for "flow based programming"

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  • 1
    moebinv

    moebinv

    C++ libraries for manipulations in non-Euclidean geometry

    ...The source is written in literate programming NoWeb.
    Downloads: 29 This Week
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  • 2

    OpenRTDynamics

    A framework for implementing real-time control systems

    ...Because of a high-level schematic-description language -- in form of provided Scilab commands -- only a minimal implementation-effort (no error-prone C-programming) is required.
    Downloads: 0 This Week
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  • 3
    fPotencia

    fPotencia

    Power flow library in C++

    fPotencia is the fruit of free time and passion for power systems simulation. After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base...
    Downloads: 0 This Week
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  • 4
    PLC Programming

    PLC Programming

    PLC Programming Best Practices

    This project is for the development of PLC programming best practices. Based on expert input, a free video series will be developed by http://BIN95.com In this project we will start with the most basic 'start stop' ladder logic, then on to 'motor control' etc., working our way up to use of advanced instructions and tecniques. All along we will be using most common real world applications in PLC programming tutorial videos.
    Downloads: 0 This Week
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  • 5
    This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.
    Downloads: 0 This Week
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  • 6
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    ...It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. To enable easy use the library is taking account of modern development techniques like policy based design and template programming. ...
    Downloads: 0 This Week
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