APA (7th ed.) Citation

Luo, H., Bai, X., & Peng, J. (2019). Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods. Journal of optimization theory and applications, 180(3), 964-992. https://doi.org/10.1007/s10957-018-1416-0

Chicago Style (17th ed.) Citation

Luo, Hezhi, Xiaodi Bai, and Jiming Peng. "Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods." Journal of Optimization Theory and Applications 180, no. 3 (2019): 964-992. https://doi.org/10.1007/s10957-018-1416-0.

MLA (9th ed.) Citation

Luo, Hezhi, et al. "Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods." Journal of Optimization Theory and Applications, vol. 180, no. 3, 2019, pp. 964-992, https://doi.org/10.1007/s10957-018-1416-0.