Pages that link to "Item:Q1267362"
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The following pages link to Convex vector functions and their subdifferential (Q1267362):
Displaying 26 items.
- The Lipschitzianity of convex vector and set-valued functions (Q286214) (← links)
- Subgradient algorithms for solving variable inequalities (Q297868) (← links)
- A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application (Q319989) (← links)
- On generalized Fenchel-Moreau theorem and second-order characterization for convex vector functions (Q402526) (← links)
- A steepest descent-like method for variable order vector optimization problems (Q467437) (← links)
- A subgradient-like algorithm for solving vector convex inequalities (Q467438) (← links)
- Existences of solutions for generalized vector quasi-equilibrium problems (Q941024) (← links)
- Sufficient conditions for pseudo-Lipschitz property in convex semi-infinite vector optimization problems (Q1044514) (← links)
- Subdifferential characterization of quasiconvex and convex vector functions (Q1277219) (← links)
- Order-preserving transformations and applications (Q1422857) (← links)
- Proximal point algorithms for vector DC programming with applications to probabilistic lot sizing with service levels (Q1784885) (← links)
- Generalized vector quasi-equilibrium problems with applications (Q1869008) (← links)
- Approximate solutions in nonsmooth and nonconvex cone constrained vector optimization (Q2150766) (← links)
- A proximal point method for difference of convex functions in multi-objective optimization with application to group dynamic problems (Q2301136) (← links)
- Characterization of convex and generalized convex vector fields on Riemannian manifolds (Q2682704) (← links)
- An approach to vector subdifferentials (Q2785402) (← links)
- (Q3446254) (← links)
- Subdifferentials and vector optimization. (Q3981845) (← links)
- Vector subdifferentials via recession mappings<sup>∗</sup><sup>∗</sup>this research was supported by grants from M.U.R.S.T (Itall) and the australian research council.$ef: (Q4351789) (← links)
- The Proximal Point Method for Locally Lipschitz Functions in Multiobjective Optimization with Application to the Compromise Problem (Q4637508) (← links)
- (Q4908007) (← links)
- The proximal point method with a vectorial Bregman regularization in multiobjective DC programming (Q5034939) (← links)
- Some properties of <i>K</i>-convex mappings in variable ordering settings (Q5057971) (← links)
- Optimality conditions for nonsmooth vector problems in normed spaces (Q5110319) (← links)
- (Q5158549) (← links)
- Optimality conditions for \(C^{1,1}\) vector optimization problems (Q5945072) (← links)