Improved Convex and Concave Relaxations of Composite Bilinear Forms
Author:
Funder
National Science Foundation
Air Force Research Laboratory
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10957-023-02196-2.pdf
Reference77 articles.
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2. Bao, X., Sahinidis, N.V., Tawarmalani, M.: Multiterm polyhedral relaxations for nonconvex, quadratically constrained quadratic programs. Optim. Methods Softw. 24(4–5), 485–504 (2009). https://doi.org/10.1080/10556780902883184
3. Bao, X., Sahinidis, N.V., Tawarmalani, M.: Semidefinite relaxations for quadratically constrained quadratic programming: a review and comparisons. Math. Program. 129(1), 129–157 (2011). https://doi.org/10.1007/s10107-011-0462-2
4. Benson, H.P.: Separable concave minimization via partial outer approximation and branch and bound. Oper. Res. Lett. 9(6), 389–394 (1990). https://doi.org/10.1016/0167-6377(90)90059-E
5. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. SIAM Rev. 59(1), 65–98 (2017). https://doi.org/10.1137/141000671
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