HAN, Qiushi, LI, Chenxi, LIN, Zhenwei, CHEN, Caihua, DENG, Qi, GE, Dongdong, LIU, Huikang und YE, Yinyu, 2025. A Low-Rank ADMM Splitting Approach for Semidefinite Programming. INFORMS Journal on Computing. 15 September 2025. P. 1-17. DOI 10.1287 joc.2024.0701.cd.
Elsevier - Harvard (with titles)Han, Q., Li, C., Lin, Z., Chen, C., Deng, Q., Ge, D., Liu, H., Ye, Y., 2025. A Low-Rank ADMM Splitting Approach for Semidefinite Programming. INFORMS Journal on Computing 1-17. https://doi.org/10.1287 joc.2024.0701.cd
American Psychological Association 7th editionHan, Q., Li, C., Lin, Z., Chen, C., Deng, Q., Ge, D., Liu, H., & Ye, Y. (2025). A Low-Rank ADMM Splitting Approach for Semidefinite Programming. INFORMS Journal on Computing, 1-17. https://doi.org/10.1287 joc.2024.0701.cd
Springer - Basic (author-date)Han Q, Li C, Lin Z, Chen C, Deng Q, Ge D, Liu H, Ye Y (2025) A Low-Rank ADMM Splitting Approach for Semidefinite Programming.. INFORMS Journal on Computing 1-17. https://doi.org/10.1287 joc.2024.0701.cd
Juristische Zitierweise (Stüber) (Deutsch)Han, Qiushi/ Li, Chenxi/ Lin, Zhenwei/ Chen, Caihua/ Deng, Qi/ Ge, Dongdong/ Liu, Huikang/ Ye, Yinyu, A Low-Rank ADMM Splitting Approach for Semidefinite Programming., INFORMS Journal on Computing 2025, 1-17.