Hayhoe, Mikhail, Barreras, Francisco, and Preciado, Victor M. Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach. Retrieved from https://par.nsf.gov/biblio/10491986. Annual Reviews in Control 52.C Web. doi:10.1016/j.arcontrol.2021.04.014.

Hayhoe, Mikhail, Barreras, Francisco, & Preciado, Victor M. Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach. Annual Reviews in Control, 52 (C). Retrieved from https://par.nsf.gov/biblio/10491986. https://doi.org/10.1016/j.arcontrol.2021.04.014

Hayhoe, Mikhail, Barreras, Francisco, and Preciado, Victor M. "Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach". Annual Reviews in Control 52 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.arcontrol.2021.04.014. https://par.nsf.gov/biblio/10491986.

@article{osti_10491986,
place = {Country unknown/Code not available}, title = {Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach}, url = {https://par.nsf.gov/biblio/10491986}, DOI = {10.1016/j.arcontrol.2021.04.014}, abstractNote = {}, journal = {Annual Reviews in Control}, volume = {52}, number = {C}, publisher = {Elsevier}, author = {Hayhoe, Mikhail and Barreras, Francisco and Preciado, Victor M.}, }