Search Results for "gnu/linux" - Page 14

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  • 1
    devsimpy

    devsimpy

    Python-based GUI for discrete-event system modeling and simulation

    DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more.
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  • 2
    A functional-structural model of Almond tree growth based on carbon partitioning among individual organs that compete for resources.
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  • 3
    Collection of wrappers for textile composite modelling package TexGen and a variation of structural FEA packages (baseline being Calculix) to allow extraction of 3D mechanical property data.
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  • 4

    Labcoat: Cleanroom Apps for SuperWikia

    Labcoat; the VHDL graphic emulator.

    Labcoat for SuperWikia Alpha fabrication manages new or revised fabrication processes. Its 'Cleanroom' applets allow codesmiths to access the lab environment, used to create semiconductors, substrate prototypes, chipset instruction blocks and other Labcoat projects. Our extensions in future releases will include UML support for C#/C++ conforming projects, import/export architecture schematics and refactoring sub-projects.
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  • 5
    Software package for stochastic and hybrid simulation of microtubule dynamics and the effects of anti-mitotic drugs and microtubule regulatory proteins.
    1 Review
    Downloads: 0 This Week
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  • 6
    Simulador de trânsito. Objetivos: - Criar um modelo de trânsito, abrangendo espaço urbano, automóveis e motoristas; - Permitir pesquisa a respeito de otimização do trânsito. Escrito em Delphi (ou não).
    Downloads: 0 This Week
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  • 7
    SimForge is a web-based Agent Based Model of an Open Source Ecosystem implemented in Python with Django. Developers act on randomly drawn preferences to create, collaborate, and use software.
    Downloads: 0 This Week
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  • 8
    A script to generate random text using Markov chains. Output text will be stylistically similar to the training text.
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