6 projects for "distributions linux" with 2 filters applied:

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  • 1

    JDistlib

    Java library of statistical distribution

    A Java package that provides routines for various statistical distributions. Based on R version 2.14.1 (continuously updated; current as of R v3.3.0). The major difference is that JDistlib is thread safe. The library contains the density (pdf), cumulative (cdf), quantile, and random number generator (RNG) routines of the following distributions: Ansari, Beta, Binomial, Cauchy, Chi square, Exponential, Fisher's F, Gamma, Geometric, Hypergeometric, Kendall, Logistic, Log normal, Negative...
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  • 2

    GMES

    GMES is a free Python package for FDTD electromagnetic simulations.

    GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST...
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  • 3
    Pamvotis is a Wireless LAN Simulator for all the current physical layer extentions of the IEEE 802.11 (IEEE 802.11 a/b/g) standard and for the IEEE 802.11e Draft for Quality of Service in WLANs.
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  • 4
    SystemML is an XML format for exchange of mathematical systems for numerical simulation. This toolbox offers support for the SystemML infrastructure. It is included in the distributions of SystemML execution clients, but can be installed separately.
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  • 5
    QTnew is a universal Queueing Theory simulator. Different types of serving disciplines, time distributions, routes are supported. Simulation is extremely flexible: any custom simulation can be performed with JavaScript.
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  • 6
    Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.
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