8 projects for "nonlinear" with 2 filters applied:

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  • 1
    The NLopt module for Julia

    The NLopt module for Julia

    Package to call the NLopt nonlinear-optimization library from Julia

    This module provides a Julia-language interface to the free/open-source NLopt library for nonlinear optimization. NLopt provides a common interface for many different optimization algorithms.
    Downloads: 4 This Week
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  • 2
    DynamicalSystems.jl

    DynamicalSystems.jl

    Award winning software library for nonlinear dynamics timeseries

    DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software.
    Downloads: 4 This Week
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  • 3
    Theseus

    Theseus

    A library for differentiable nonlinear optimization

    Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently.
    Downloads: 5 This Week
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  • 4
    PETSc.jl

    PETSc.jl

    Julia wrappers for the PETSc library

    This package provides a low level interface for PETSc and allows combining julia features (such as automatic differentiation) with the PETSc infrastructure and nonlinear solvers.
    Downloads: 0 This Week
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  • 5
    CasADi

    CasADi

    CasADi is a symbolic framework for numeric optimization

    CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and...
    Downloads: 10 This Week
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  • 6
    OptimTraj

    OptimTraj

    A trajectory optimization library for Matlab

    OptimTraj is a MATLAB toolbox for solving trajectory optimization problems. It supports direct collocation, shooting methods, and pseudospectral methods for finding optimal control inputs and system trajectories. It is useful for robotics, aerospace, biomechanics, and any domain requiring time-optimal or energy-optimal motion planning.
    Downloads: 0 This Week
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  • 7
    CHOW Phaser

    CHOW Phaser

    Phaser effect based loosely on the Schulte Compact Phasing 'A'

    ChowPhaser is an open-source audio plugin that emulates the classic Schulte Compact Phasing 'A' effect. It offers a unique phasing effect with nonlinear feedback and modulation capabilities, suitable for various audio processing applications.
    Downloads: 0 This Week
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  • 8
    Attitude Estimator

    Attitude Estimator

    A C++ implementation of a nonlinear 3D IMU fusion algorithm.

    Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. Great emphasis has been placed on having a very efficient, yet totally numerically and algorithmically robust implementation of the filter. ...
    Downloads: 0 This Week
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