CVXGEN: a code generator for embedded convex optimization

@article{Mattingley2012CVXGENAC,
  title={CVXGEN: a code generator for embedded convex optimization},
  author={J. Mattingley and Stephen P. Boyd},
  journal={Optimization and Engineering},
  year={2012},
  volume={13},
  pages={1-27}
}
  • J. Mattingley, Stephen P. Boyd
  • Published 2012
  • Mathematics
  • Optimization and Engineering
  • CVXGEN is a software tool that takes a high level description of a convex optimization problem family, and automatically generates custom C code that compiles into a reliable, high speed solver for the problem family. The current implementation targets problem families that can be transformed, using disciplined convex programming techniques, to convex quadratic programs of modest size. CVXGEN generates simple, flat, library-free code suitable for embedding in real-time applications. The… CONTINUE READING
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    References

    SHOWING 1-10 OF 63 REFERENCES
    Automatic code generation for real-time convex optimization
    • 85
    • PDF
    Automatic generation of optimization code based on symbolic non-linear domain formulation
    • 7
    • PDF
    Real-Time Convex Optimization in Signal Processing
    • 273
    • PDF
    Code generation for receding horizon control
    • 79
    • PDF
    Interior-point polynomial algorithms in convex programming
    • 3,117
    • PDF
    Fast Model Predictive Control Using Online Optimization
    • 1,100
    • PDF
    Cholesky-based Methods for Sparse Least Squares : The Benefits of Regularization ∗
    • 54
    • PDF
    Symmetric indefinite systems for interior point methods
    • 129
    • PDF
    Synthesis of mathematical-modeling software
    • E. Kant
    • Computer Science
    • IEEE Software
    • 1993
    • 61