&egr;-duality theorem of nondifferentiable nonconvex multiobjective programming
Journal of Optimization Theory and Applications
&egr;-optimality criteria for convex programming problems via exact penalty functions
Mathematical Programming: Series A and B
Value-estimation function method for constrained global optimization
Journal of Optimization Theory and Applications
A Nonlinear Lagrangian Approach to Constrained Optimization Problems
SIAM Journal on Optimization
Decreasing Functions with Applications to Penalization
SIAM Journal on Optimization
Successive Optimization Method via Parametric Monotone Composition Formulation
Journal of Global Optimization
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There is an increasing interest in the study of optimality conditions of approximate solutions for nonlinear optimization problems. In this paper, relationships between approximate optimal values and approximate roots of a nonlinear function are explored via a nonlinear Lagrangian function. Almost approximate optimal solutions are investigated by means of nonlinear Lagrangian functions.