Description:
Advanced Proximal Optimization Toolbox
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Type: Formula
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Tracked Since: Dec 28, 2025
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Links:
Homepage |
formulae.brew.sh
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Category: Developer tools
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Tags:
optimization
quadratic-programming
c-plus-plus
robotics
machine-learning
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Install:
brew install proxsuite
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About:
Proxsuite is a C++ library for solving convex quadratic programming problems with a focus on speed and robustness. It implements the Proximal Point method, offering high performance for both dense and sparse problem structures. The toolbox provides Python bindings for easy integration into machine learning and robotics workflows.
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Key Features:
- High-performance proximal point solver
- Support for dense and sparse QPs
- Python bindings for easy integration
- Robust and numerically stable
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Use Cases:
- Robotics and control systems
- Machine learning optimization
- Model predictive control (MPC)
- Computer vision tasks
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Alternatives:
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qpOASES
– Proxsuite often offers higher performance for large-scale sparse problems
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OSQP
– Alternative operator splitting solver with a different algorithmic approach
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CVXPY
– Modeling framework that can use various solvers, including Proxsuite via interfaces
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