Luo, H., Bai, X., Lim, G., & Peng, J. (2019). New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation. Mathematical programming computation, 11(1), 119-171. https://doi.org/10.1007/s12532-018-0142-9
Chicago Style (17th ed.) CitationLuo, Hezhi, Xiaodi Bai, Gino Lim, and Jiming Peng. "New Global Algorithms for Quadratic Programming with a Few Negative Eigenvalues Based on Alternative Direction Method and Convex Relaxation." Mathematical Programming Computation 11, no. 1 (2019): 119-171. https://doi.org/10.1007/s12532-018-0142-9.
MLA (9th ed.) CitationLuo, Hezhi, et al. "New Global Algorithms for Quadratic Programming with a Few Negative Eigenvalues Based on Alternative Direction Method and Convex Relaxation." Mathematical Programming Computation, vol. 11, no. 1, 2019, pp. 119-171, https://doi.org/10.1007/s12532-018-0142-9.