Faster, but weaker, relaxations for quadratically constrained quadratic programs
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DOI: 10.1007/s10589-013-9618-8
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- de Klerk, E. & Sotirov, R., 2007.
"Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem,"
Discussion Paper
2007-44, Tilburg University, Center for Economic Research.
- de Klerk, E. & Sotirov, R., 2010. "Exploiting group symmetry in semidefinite programming relaxations of the quadratic assignment problem," Other publications TiSEM 73287c80-3bc2-40c4-b02d-4, Tilburg University, School of Economics and Management.
- de Klerk, E. & Sotirov, R., 2007. "Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem," Other publications TiSEM 87a5d126-86e5-4863-8ea5-1, Tilburg University, School of Economics and Management.
- X. Zheng & X. Sun & D. Li, 2011. "Nonconvex quadratically constrained quadratic programming: best D.C. decompositions and their SDP representations," Journal of Global Optimization, Springer, vol. 50(4), pages 695-712, August.
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Cited by:
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- Zhijun Xu & Jing Zhou, 2023. "A simultaneous diagonalization based SOCP relaxation for portfolio optimization with an orthogonality constraint," Computational Optimization and Applications, Springer, vol. 85(1), pages 247-261, May.
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Keywords
Nonconvex quadratic programming; Semidefinite programming; Second-order cone programming; Difference of convex;All these keywords.
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