OSQP Matlab

Version 0.6.3 (235 KB) by Vineet Bansal

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving convex quadratic programs.

https://osqp.org

0.0

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492 Downloads

Updated 3 Sep 2021

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The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving convex quadratic programs.

Cite As

Schubiger, Michel, et al. “GPU Acceleration of ADMM for Large-Scale Quadratic Programming.” Journal of Parallel and Distributed Computing, vol. 144, Elsevier BV, Oct. 2020, pp. 55–67, doi:10.1016/j.jpdc.2020.05.021.

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MATLAB Release Compatibility

Created with R2021a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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codegen

unittests

Version	Published	Release Notes
0.6.3	3 Sep 2021	See release notes for this release on GitHub: https://github.com/vineetbansal/osqp-matlab-release/releases/tag/0.6.3	Download
0.6.2	3 Sep 2021		Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	Schubiger, Michel, et al. “GPU Acceleration of ADMM for Large-Scale Quadratic Programming.” Journal of Parallel and Distributed Computing, vol. 144, Elsevier BV, Oct. 2020, pp. 55–67, doi:10.1016/j.jpdc.2020.05.021.
APA	Schubiger, M., Banjac, G., & Lygeros, J. (2020). GPU acceleration of ADMM for large-scale quadratic programming. Journal of Parallel and Distributed Computing, 144, 55–67. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.jpdc.2020.05.021
BibTeX	@article{Schubiger_2020, doi = {10.1016/j.jpdc.2020.05.021}, url = {https://doi.org/10.1016%2Fj.jpdc.2020.05.021}, year = 2020, month = {oct}, publisher = {Elsevier {BV}}, volume = {144}, pages = {55--67}, author = {Michel Schubiger and Goran Banjac and John Lygeros}, title = {{GPU} acceleration of {ADMM} for large-scale quadratic programming}, journal = {Journal of Parallel and Distributed Computing} }