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DAQP

DAQP is a dual active-set solver that solves convex quadratic programs of the form

minimize        0.5 x' H x + f' x

subject to      l  <=  x  <= u
		bl <=  Ax <= bu.

Binary constraints of the form $A x \in \lbrace b_l, b_u \rbrace$ are also supported, allowing for mixed-integer quadratic programs to be solved.

The code is written in C and is library free. DAQP can be interfaced to C, Julia, MATLAB, and Python.

Quick installation

Julia <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/julia/julia-original.svg" height="20"/>

] add DAQP

MATLAB <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/matlab/matlab-original.svg" height="20"/>

websave('install_daqp','https://raw.githubusercontent.com/darnstrom/daqp/master/interfaces/daqp-matlab/install_daqp.m')
install_daqp

Python <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/python/python-original.svg" height="20" />

pip install daqp

Details

See the Documentation for more detailed installation instructions and basic use of the interfaces.

Citing DAQP

@article{arnstrom2022dual,
  author={Arnström, Daniel and Bemporad, Alberto and Axehill, Daniel},
  journal={IEEE Transactions on Automatic Control},
  title={A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive {LDL}$^{T}$ Updates},
  year={2022},
  volume={67},
  number={8},
  pages={4362-4369},
  doi={10.1109/TAC.2022.3176430}
}