| Austin Schuh | 9049e20 | 2022-02-20 17:34:16 -0800 | [diff] [blame^] | 1 | .. _citing : |
| 2 | |
| 3 | Citing OSQP |
| 4 | =========== |
| 5 | |
| 6 | If you use OSQP for published work, we encourage you to put a star on `GitHub <https://github.com/osqp/osqp>`_ and cite the accompanying papers: |
| 7 | |
| 8 | |
| 9 | .. glossary:: |
| 10 | |
| 11 | Main paper |
| 12 | Main algorithm description, derivation and benchmark available in this `paper <https://web.stanford.edu/~boyd/papers/pdf/osqp.pdf>`__. |
| 13 | |
| 14 | .. code:: latex |
| 15 | |
| 16 | @article{osqp, |
| 17 | author = {Stellato, B. and Banjac, G. and Goulart, P. and Bemporad, A. and Boyd, S.}, |
| 18 | title = {{OSQP}: an operator splitting solver for quadratic programs}, |
| 19 | journal = {Mathematical Programming Computation}, |
| 20 | volume = {12}, |
| 21 | number = {4}, |
| 22 | pages = {637--672}, |
| 23 | year = {2020}, |
| 24 | doi = {10.1007/s12532-020-00179-2}, |
| 25 | url = {https://doi.org/10.1007/s12532-020-00179-2}, |
| 26 | } |
| 27 | |
| 28 | Infeasibility detection |
| 29 | Infeasibility detection proofs using ADMM (also for general conic programs) in this `paper <https://stanford.edu/~boyd/papers/pdf/admm_infeas.pdf>`__. |
| 30 | |
| 31 | .. code:: latex |
| 32 | |
| 33 | @article{osqp-infeasibility, |
| 34 | author = {Banjac, G. and Goulart, P. and Stellato, B. and Boyd, S.}, |
| 35 | title = {Infeasibility detection in the alternating direction method of multipliers for convex optimization}, |
| 36 | journal = {Journal of Optimization Theory and Applications}, |
| 37 | year = {2019}, |
| 38 | volume = {183}, |
| 39 | number = {2}, |
| 40 | pages = {490--519}, |
| 41 | doi = {10.1007/s10957-019-01575-y}, |
| 42 | url = {https://doi.org/10.1007/s10957-019-01575-y}, |
| 43 | } |
| 44 | |
| 45 | GPU implementation |
| 46 | GPU implementation and PCG method for solving linear systems in this `paper <https://doi.org/10.1016/j.jpdc.2020.05.021>`__. |
| 47 | |
| 48 | .. code:: latex |
| 49 | |
| 50 | @article{osqp-gpu, |
| 51 | author = {Schubiger, M. and Banjac, G. and Lygeros, J.}, |
| 52 | title = {{GPU} acceleration of {ADMM} for large-scale quadratic programming}, |
| 53 | journal = {Journal of Parallel and Distributed Computing}, |
| 54 | year = {2020}, |
| 55 | volume = {144}, |
| 56 | pages = {55--67}, |
| 57 | doi = {10.1016/j.jpdc.2020.05.021}, |
| 58 | url = {https://doi.org/10.1016/j.jpdc.2020.05.021}, |
| 59 | } |
| 60 | |
| 61 | Code generation |
| 62 | Code generation functionality and example in this `paper <https://stanford.edu/~boyd/papers/pdf/osqp_embedded.pdf>`__. |
| 63 | |
| 64 | .. code:: latex |
| 65 | |
| 66 | @inproceedings{osqp-codegen, |
| 67 | author = {Banjac, G. and Stellato, B. and Moehle, N. and Goulart, P. and Bemporad, A. and Boyd, S.}, |
| 68 | title = {Embedded code generation using the {OSQP} solver}, |
| 69 | booktitle = {IEEE Conference on Decision and Control (CDC)}, |
| 70 | year = {2017}, |
| 71 | doi = {10.1109/CDC.2017.8263928}, |
| 72 | url = {https://doi.org/10.1109/CDC.2017.8263928}, |
| 73 | } |
| 74 | |
| 75 | Mixed-integer optimization |
| 76 | A branch-and-bound solver for mixed-integer quadratic optimization in this `paper <https://stellato.io/downloads/publications/2018/miosqp_ecc.pdf>`__. |
| 77 | |
| 78 | .. code:: latex |
| 79 | |
| 80 | @inproceedings{miosqp, |
| 81 | author = {Stellato, B. and Naik, V. V. and Bemporad, A. and Goulart, P. and Boyd, S.}, |
| 82 | title = {Embedded mixed-integer quadratic optimization using the {OSQP} solver}, |
| 83 | booktitle = {European Control Conference (ECC)}, |
| 84 | year = {2018}, |
| 85 | doi = {10.23919/ECC.2018.8550136}, |
| 86 | url = {https://doi.org/10.23919/ECC.2018.8550136}, |
| 87 | } |