Approximation of quasiconvex functions by neatly quasiconvex functions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/s11590-020-01535-w.pdf
Reference16 articles.
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2. Aussel, D., Eberhard, A.: Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators. Math. Program. Ser. B 139, 27–54 (2013)
3. Aussel, D., Hadjisavvas, N.: Adjusted sublevel sets, normal operator and quasiconvex programming. SIAM J. Optim. 16, 358–367 (2005)
4. Aussel, D., Sagratella, S.: Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality. Math. Methods Oper. Res. 85, 3–18 (2017)
5. Avriel, M., Diewert, W.E., Schaible, S., Zang, I.: Generalized Concavity, Classics in Applied Mathematics. SIAM, Philadelphia (2010)
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1. Semistrictly and neatly quasiconvex programming using lower global subdifferentials;Journal of Global Optimization;2023-02-27
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