Generalized Convexity

I. Generalized convex functions.- Univex sets, functions and univex nonlinear programming.- Optimization on closely convex sets.- A note on ordinal concavity.- Generalized concavity in cooperative game theory: characterizations in terms of the core.- On the existence of Nash-equilibrium in n-person generalized concave games.- A deep cut ellipsoid algorithm and quasiconvex programming.- Quasiconvexity and related properties in the calculus of variations.- Ray-quasiconvex and f-quasiconvex functions.- Geodesic convexity on ?n.- A class of differentiable generalized convex functions.- Equivalence between generalized gradients and subdifferentials (lower semigradients) for a suitable class of lower semicontinuous functions.- II. Optimality and duality.- Generalizing convexity for second order optimality conditions.- Regularity conditions for constrained extremum problems via image space approach: the linear case.- Duality theory for convex/quasiconvex functions and its application to optimization.- First order generalized optimality conditions for programming problems with a set constraint.- Abstract nonsmooth nonconvex programming.- A survey on optimality and duality in nonsmooth programming.- III. Generalized monotone maps.- Generalized monotonicity — a survey.- Orderings, generalized convexity and monotonicity.- Generalized monotonicity in non-smooth analysis.- Some invariance properties of generalized monotonicity.- IV. Fractional programming.- On quasiconvexity in fractional programming.- A class of non-linear programs: theoretical and algorithmical results.- Post-buckling analysis of frames by a hybrid path-following method.- Fractional programming under uncertainty.- V. Multiobjective programming.- Generalized concavity and optimality conditions in vector and scalar optimization.- Duality for vector valued B-invex programming.- A cutting plane algorithm for linear optimization over the efficient set.- Multiobjective scheduling problems.- On the relationships between bicriteria problems and non-linear programming.- Contributing authors.