Optimization of the difference of ICR functions
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Publication:838045
DOI10.1016/j.na.2009.03.017zbMath1178.90342OpenAlexW2079611732MaRDI QIDQ838045
A. R. Doagooei, Hossein Mohebi
Publication date: 21 August 2009
Published in: Nonlinear Analysis. Theory, Methods \& Applications. Series A: Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.na.2009.03.017
Nonlinear programming (90C30) Optimality conditions and duality in mathematical programming (90C46) Monotonic functions, generalizations (26A48)
Related Items (13)
Global optimization of the difference of two increasing plus-convex-along-rays functions ⋮ Global minimization of the difference of increasing co-radiant and quasi-concave functions ⋮ Characterizing approximate global minimizers of the difference of two abstract convex functions with applications ⋮ Optimization of the difference of topical functions ⋮ On the extensions preserving the shape of a semi-Hölder function ⋮ Generalized cutting plane method for solving nonlinear stochastic programming problems ⋮ Minimizing the Difference of Dual Functions of Two Coradiant Functions ⋮ Characterizing global maximizers of the difference of sub-topical functions ⋮ Characterizations of minimal elements of topical functions on semimodules with applications ⋮ Global minimization of the difference of strictly non-positive valued affine ICR functions ⋮ Effective Hamiltonians for Constrained Quantum Systems ⋮ Abstract convexity of set-valued topical functions with application in DC-type optimization ⋮ Characterizations of Maximal Elements for Extended Real Valued Increasing and Co-Radiant Functions
Cites Work
- Monotonic analysis over ordered topological vector spaces. IV
- Duality in nonconvex optimization
- Increasing convex-along-rays functions with applications to global optimization
- Inequality systems and global optimization
- Toland-singer formula cannot distinguish a global minimizer from a choice of stationary points*
- Nonlinear Extensions of Farkas’ Lemma with Applications to Global Optimization and Least Squares
- Abstract convexity:examples and applications
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