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ipab-slmc/exotica

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163 stars·69 forks·C++·BSD-3-Clause·9 viewsipab-slmc.github.io/exotica↗

Exotica

Extensible Optimization Framework

Features

  • Optimization Solvers - Generic optimisation toolset for robotics platforms.
  • Robotics Libraries - Optimization toolset for robotics platforms with Python bindings.

Star history

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How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Exotica

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Frequently asked questions

What does ipab-slmc/exotica do?

Extensible Optimization Framework

What are the main features of ipab-slmc/exotica?

The main features of ipab-slmc/exotica are: Optimization Solvers, Robotics Libraries.

What are some open-source alternatives to ipab-slmc/exotica?

Open-source alternatives to ipab-slmc/exotica include: ceres-solver/ceres-solver — Ceres Solver is a C++ library for numerical optimization, specializing in non-linear least squares and unconstrained… coin-or/shot — A solver for mixed-integer nonlinear optimization problems. cma-es/libcmaes — libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization… coin-or/ipopt — COIN-OR Interior Point Optimizer IPOPT. casadi/casadi — CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse… borglab/gtsam — GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor…