On sparsity of the solution to a random quadratic optimization problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Link
http://link.springer.com/content/pdf/10.1007/s10107-019-01456-2.pdf
Reference37 articles.
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3. Bomze, I.M., de Klerk, E.: Solving standard quadratic optimization problems via linear, semidefinite and copositive programming. J. Global Optim. 24, 163–185 (2002)
4. Bomze, I.M., Locatelli, M., Tardella, F.: New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability. Math. Program. 1, 31–64 (2008)
5. Bomze, I.M., Schachinger, W., Ullrich, R.: The complexity of simple models—a study of worst and typical hard cases for the standard quadratic optimization problem. Math. Oper. Res. 43, 651–674 (2018)
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