Showing 84 open source projects for "level set method"

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  • 1
    Yans is a extensible, mixed-level, Monte-Carlo Method based, discrete event network simulator. Yans is divided into interacting layers, namely: core, topology, nodes, monitors; and is driven by a config-file that describes the setup of the network.
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  • 2
    This set of C++ classes allows the user to load data from custom Affymetrix microarrays. This is a good platform for new method development and it contains several common normalization algorithms.
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  • 3
    FSEM is a set of freeFEM++ scripts and C++ code to solve the drift-diffusion (DD) semiconductor device equations by the finite element method (FEM). It was initially developed for the nonlinear study of semiconductors under high optical injection.
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  • 4
    A java program for exploring cubic fractals, similar to the Mandelbrot set but exhibiting a higher level of dynamical complexity. CubicBrowser provides the ability to explore the 4D Cubic Locus (and associated Julia sets) by viewing arbitrary 2D slices.
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  • 5
    an object-oriented API to access spatial data from Perl scripts, defines a set of classes and conventions to access spatial data independent of underlying file format or access method, based on OpenGIS Abstract Specification (see http://www.opengis.org)
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  • 6

    femke

    Finite Element Method Kernel Engine

    Femke (Finite Element Method Kernel Engine) provides a basic set of tools for solving finite element method systems for windows (x86/x64). Femke can be compiled as static library, dynamic library and as managed wrapper library. This project depends heavily on (not included): - OpenCASCADE (2D/3D modelling) - NetGen (2D/3D meshing) - NgSolve (assembling of system marices) - GetFEM++ (assembling of system marices) - OpenBLAS (Optimized Linear Algebra Routines) - SparseSuite (Solving sparse matrices) - MuParser (Expression interpreter)
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  • 7
    trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. ...
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  • 8
    A set of small tools and utilities for academia, to be used to teach (and learn) different topics (at the undergraduate level) in computer science in the subject of the theory of computation and pure/theoretical computer science.
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  • 9
    A set of tools for population level and agent based modeling in evolutionary game theory.
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