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Showing 7 open source projects for "apostila-python"

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  • 1
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    allink

    Software for data analysis, image processing, simulations, solver.

    Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the...
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  • 2
    SunlightLB is an open-source 3d lattice Boltzmann code which can be used to solve a variety of hydrodynamics problems, including passive scalar transport problems.
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  • 3
    Synthetic Biology Software Suite (SynBioSS) is composed of a wiki for biochemical kinetic constants, a graphical interface for simulating synthetic biological pathways, and a simulator that runs on either a desktop or supercomputer.
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  • 4
    CDNsim is a GNU/LINUX simulation tool for CDNs, written in C++ (core) and python (GUI wizard). It models: redirection policies, cache policies, TCP/IP, batch simulations, statistics extraction and more. CDNsim is uses the OMNet++ library
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  • 5
    Moved to GitHub in 2013. This SourceForge project is no longer updated. Source code and documentation: stokes: https://github.com/kichiki/stokes libstokes: https://github.com/kichiki/libstokes libiter: https://github.com/kichiki/libiter twobody: https://github.com/kichiki/twobody RYUON User's Manual: https://github.com/kichiki/RYUON-manual RYUON : many-particle simulation suite
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  • 6
    STOCHSIM is a stochastic simulator for biochemical reactions. The particles are represented as individual software objects which react according to probabilities derived from concentrations and rate constants. Simple spatial structures can be built.
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  • 7
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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