A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/s10589-019-00153-2.pdf
Reference48 articles.
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3. Anjos, M.F., Ghaddar, B., Hupp, L., Liers, F., Wiegele, A.: Solving $$k$$-way graph partitioning problems to optimality: the impact of semidefinite relaxations and the bundle method. In: Jünger, M., Reinelt, G. (eds.) Facets of Combinatorial Optimization, pp. 355–386. Springer, Berlin (2013)
4. Armbruster, M., Fügenschuh, M., Helmberg, C., Martin, A.: LP and SDP branch-and-cut algorithms for the minimum graph bisection problem: a computational comparison. Math. Program. Comput. 4(3), 275–306 (2012)
5. Baraniuk, R.G.: Compressive sensing [lecture notes]. IEEE Signal Process. Mag. 24(4), 118–121 (2007)
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