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-Zitierstil (17. Ausg.)Luo, Hezhi, Xiaodi Bai, und 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-Zitierstil (9. Ausg.)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.