E-differentiable minimax programming under E-convexity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-020-03925-w.pdf
Reference37 articles.
1. Antczak, T., & Abdulaleem, N. (2019). $$E$$-optimality conditions and Wolfe $$E$$-duality for $$E$$-differentiable vector optimization problems with inequality and equality constraints. Journal of Nonlinear Sciences and Applications,12, 745–764.
2. Antczak, T. (2004). Minimax programming under $$(p, r)$$-invexity. European Journal of Operational Research, 158, 1–19.
3. Antczak, T. (2011). Nonsmooth minimax programming under locally Lipschitz $$\left( \Phi,\rho \right) $$-invexity. Applied Mathematics and Computation,217, 9606–9624.
4. Antczak, T. (2013). A lower bound for the penalty parameter in the exact minimax penalty function method for solving nondifferentiable extremum problems. Journal of Optimization Theory and Applications,159(2), 437–453.
5. Ahmad, I., Husain, Z., & Sharma, S. (2008). Second-order duality in nondifferentiable minmax programming involving type-I functions. Journal of Computational and Applied Mathematics,215(1), 91–102.
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1. Exponentially $ E $-convex vector optimization problems;Journal of Industrial and Management Optimization;2024
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