American Psychological Association 6th edition

Yu, H. (2023). Scenario decomposable subgradient projection method for two-stage stochastic programming with convex risk measures. Journal of Applied Mathematics and Computing, 69(3), 2389-2419. https://doi.org/10.1007/s12190-023-01840-4

ISO-690 (author-date, English)

YU, Haodong, 2023. Scenario decomposable subgradient projection method for two-stage stochastic programming with convex risk measures. Journal of Applied Mathematics and Computing. 1 June 2023. Vol. 69, no. 3, p. 2389-2419. DOI 10.1007/s12190-023-01840-4.

Modern Language Association 9th edition

Yu, H. “Scenario Decomposable Subgradient Projection Method for Two-Stage Stochastic Programming With Convex Risk Measures”. Journal of Applied Mathematics and Computing, vol. 69, no. 3, June 2023, pp. 2389-1, https://doi.org/10.1007/s12190-023-01840-4.

Mohr Siebeck - Recht (Deutsch - Österreich)

Yu, Haodong: Scenario decomposable subgradient projection method for two-stage stochastic programming with convex risk measures, Journal of Applied Mathematics and Computing 2023, 2389-2419.

Emerald - Harvard

Yu, H. (2023), “Scenario decomposable subgradient projection method for two-stage stochastic programming with convex risk measures”, Journal of Applied Mathematics and Computing, Vol. 69 No. 3, pp. 2389-2419.

Warning: These citations may not always be 100% accurate.