Showing 4 open source projects for "finite element analysis"

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  • 1
    LinAsm

    LinAsm

    Collection of fast and optimized assembly libraries for x86-64 Linux

    ...It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract data types (ADT) such as hash tables b-trees, and much more. LinAsm libraries are written on FASM assembly language. They are stable and have appropriate benchmarks for many units. ...
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    Downloads: 21 This Week
    Last Update:
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  • 2

    Advanced Numerical Instruments 3D

    Advanced numerical instruments: adaptive meshing, FE methods, solvers

    Ani3D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers.
    Downloads: 3 This Week
    Last Update:
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  • 3

    Advanced Numerical Instruments 2D

    Advanced numerical instruments: adaptive meshing, FE methods, solvers

    Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers.
    Downloads: 8 This Week
    Last Update:
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  • 4

    SPSens

    Stochastic parameter sensitivity analysis for chemical networks

    SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the...
    Downloads: 1 This Week
    Last Update:
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