Cite
Distributionally robust optimization with polynomial densities: theory, models and algorithms.
MLA
de Klerk, Etienne, et al. “Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms.” Mathematical Programming, vol. 181, no. 2, June 2020, pp. 265–96. EBSCOhost, https://doi.org/10.1007/s10107-019-01429-5.
APA
de Klerk, E., Kuhn, D., & Postek, K. (2020). Distributionally robust optimization with polynomial densities: theory, models and algorithms. Mathematical Programming, 181(2), 265–296. https://doi.org/10.1007/s10107-019-01429-5
Chicago
de Klerk, Etienne, Daniel Kuhn, and Krzysztof Postek. 2020. “Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms.” Mathematical Programming 181 (2): 265–96. doi:10.1007/s10107-019-01429-5.