Showing 5 open source projects for "large eddy simulation"

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  • 1
    Tissue Simulation Toolkit is a two-dimensional library for the Cellular Potts Model (Graner and Glazier 1992; Phys. Rev. Lett. 69, 2013), which is increasingly used by computational biologists to study tissue patterning and developmental mechanisms.
    Downloads: 1 This Week
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  • 2

    PhEq_bootstrap

    FDA's f2 computation with bootstrap technique

    This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus...
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    Downloads: 28 This Week
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  • 3

    CUDA-SPHERE-FWD-MEEG

    CUDA accelerated spherical model forward solution for EEG/MEG

    CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup by a...
    Downloads: 0 This Week
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  • 4
    ...https://github.com/ecell The development of E-Cell now continues on GitHub. The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.
    Downloads: 0 This Week
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  • 5
    SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
    Downloads: 0 This Week
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