AbstractSufficient conditions of optimality are derived for convex and non-convex problems with state constraints on the basis of the apparatus of locally conjugate mappings. The duality theorem is formulated and the conditions under which the direct and dual problems are connected by the duality relation are searched for
This thesis is divided into six chapters. In the Ist chapter we present a brief survey of related wo...
AbstractTwo dual problems are proposed for the minimax problem: minimize maxy ϵ Y φ(x, y), subject t...
AbstractA Fenchel-Rockafellar type duality theorem is obtained for a non-convex and non-differentiab...
AbstractWe examine a notion of duality which appears to be useful in situations where the usual conv...
This paper deals with the Dirichlet problem for convex differential (PC) inclusions of elliptic type...
AbstractWe develop a duality theory for problems of minimization of a convex functional on a convex ...
AbstractNecessary and sufficient conditions for optimality are derived for the problems under consid...
Given a convex optimization problem (P) in a locally convex topological vector space X with an arbit...
AbstractIn a recent paper D. J. White presented a new approach to the problem of minimizing a differ...
AbstractIn this paper we provide a duality theory for multiobjective optimization problems with conv...
AbstractContinuing our papers (Optimization 18, 1987, 485–499; and Math. Oper. Stat. Ser. Optim. 11,...
AbstractWe examine a notion of duality which appears to be useful in situations where the usual conv...
The conjugate duality, which states that infx∈X φ(x, 0) = maxv∈Y ' −φ∗(0,v), whenever a regularity c...
(', ρ)-invexity has recently been introduced with the intent of generalizing invex functions in math...
AbstractNecessary and sufficient conditions, without convexity requirements, are given for a multiob...
This thesis is divided into six chapters. In the Ist chapter we present a brief survey of related wo...
AbstractTwo dual problems are proposed for the minimax problem: minimize maxy ϵ Y φ(x, y), subject t...
AbstractA Fenchel-Rockafellar type duality theorem is obtained for a non-convex and non-differentiab...
AbstractWe examine a notion of duality which appears to be useful in situations where the usual conv...
This paper deals with the Dirichlet problem for convex differential (PC) inclusions of elliptic type...
AbstractWe develop a duality theory for problems of minimization of a convex functional on a convex ...
AbstractNecessary and sufficient conditions for optimality are derived for the problems under consid...
Given a convex optimization problem (P) in a locally convex topological vector space X with an arbit...
AbstractIn a recent paper D. J. White presented a new approach to the problem of minimizing a differ...
AbstractIn this paper we provide a duality theory for multiobjective optimization problems with conv...
AbstractContinuing our papers (Optimization 18, 1987, 485–499; and Math. Oper. Stat. Ser. Optim. 11,...
AbstractWe examine a notion of duality which appears to be useful in situations where the usual conv...
The conjugate duality, which states that infx∈X φ(x, 0) = maxv∈Y ' −φ∗(0,v), whenever a regularity c...
(', ρ)-invexity has recently been introduced with the intent of generalizing invex functions in math...
AbstractNecessary and sufficient conditions, without convexity requirements, are given for a multiob...
This thesis is divided into six chapters. In the Ist chapter we present a brief survey of related wo...
AbstractTwo dual problems are proposed for the minimax problem: minimize maxy ϵ Y φ(x, y), subject t...
AbstractA Fenchel-Rockafellar type duality theorem is obtained for a non-convex and non-differentiab...