[1] Altangerel L., Bot R.I., Wanka G. (2006). “On gap functions for equilibrium problems via Fenchel duality”, Pacific Journal of Optimization, 2, 667-678.
[2] Altangerel L., Bot R.I., Wanka G. (2007). “On the construction of gap functions for variational inequalities via conjugate duality”, Asia-Pacific Journal of Operational Research, 24, 353-371.
[3] Auslender A. (1976). “Optimisation: Méthods numériques”, Masson, Paris.
[4] Caristi G., Kanzi N., Soleimani-Damaneh M. (2018). “On gap functions for nonsmooth multi objective optimization problems”, Optimization Letters, 12, 273-286.
[5] Chen C.Y., Goh C.J., Yang X.Q. (1998). “The gap function of a convex multi criteria optimization problem”, European Journal of Operational Research, 111, 142-151.
[6] Giorgi G., Guerraggio A., Thierselder J. (2004). “Mathematics of optimization, smooth and nonsmooth cases”. Elsivier.
[7] Hassani Bafrani A., Sadeghieh A. (2018). “Quasi-gap and gap functions for non-smooth multi-objective semi-infinite optimization problems”, Control and Optimization in Applied Mathematics, 3, 1-12.
[8] Hearn DW. (1982). “The gap function of a convex program”, Operations Research Letters, 1, 67-71.
[9] Kanzi N., Sadeghieh A., Caristi G. (2019). “Optimality conditions for semi-infinite programming problems involving generalized convexity”, Optimization Letters, 13, 113-126.
[10] Kanzi N., Shaker Ardekani J., Caristi G. (2018). “Optimality, scalarization and duality in linear vector semi-infinite programming”, Optimization, 67, 523-536.
[11] Kanzi N., Soleymani-damaneh M. (2015). “Slater CQ, optimality and duality for quasi-convex semi-infinite optimization problems”, Journal of Mathematical Analysis and Applications, 434, 638-651.
[12] Lin M.H., Carlsson J.G., Ge D., Tsai J.F. (2013). “A review of piecewise linearization methods”, Mathematical problems in Engineering, 7, 14-25.
[13] López M.A., Vercher E. (1983). “Optimality conditions for nondifferentiable convex semi-infinite Programming”, Mathematical Programming, 27, 307-319.
[14] Penot J.P. (1998). “Are generalized derivatives useful for generalized convex functions? In generalized convexity, generalized monotonicity: Recent results”, J.P. Crouzeix, J. E. Martinez-Legaz, and M. Volle, (eds.), Kluwer, Dordrecht., 3-59.
[15] Penot J.P. (2000). “What is quasiconvex analysis?”, Optimization, 47, 35-110.
[16] Penot J.P., Zälinescu C. (2000). “Elements of quasiconûex subdifferential calculus”, Journal of Convex Analysis, 7, 243-269.
[17] Soleymani-damaneh M. (2008). “Infinite (semi-infinite) problems to characterize the optimality of nonlinear optimization problems”, European Journal of Operational Research, 188, 49-56.
[18] Soroush H. (2021). “Topological subdifferential and its role in nonsmooth optimization with quasi-convex data”, Control and Optimization in Applied Mathematics, 5, 83-91.
[19] Still C., Westerlund T. (2010). “A linear programming based optimization algorithm for solving nonlinear programming problems”, European Journal of Operational Research, 200, 658-670.