Characterizing global optimality for DC optimization problems under convex inequality constraints

DOI10.1007/BF00138691zbMath0855.90100OpenAlexW2064721360MaRDI QIDQ1924070

Yanyan Li

Publication date: 24 November 1996

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00138691

zbMATH Keywords

convex analysisgeneralized Farkas' lemmaDC optimization\(\varepsilon\)-subdifferentialscharacterizations of global optimalitydifference convex (DC) optimization problems

Mathematics Subject Classification ID

Convex programming (90C25) Nonsmooth analysis (49J52)

Related Items

Convex inequalities without constraint qualification nor closedness condition, and their applications in optimization, On subdifferentials via a generalized conjugation scheme: an application to DC problems and optimality conditions, Characterization of d.c. Functions in terms of quasidifferentials, Some new Farkas-type results for inequality systems with DC functions, \(\varepsilon \)-duality theorems for convex semidefinite optimization problems with conic constraints, ε-Optimality Conditions for Vector Optimization Problems with Set-Valued Maps, New global optimality conditions for nonsmooth DC optimization problems, On set containment characterizations for sets described by set-valued maps with applications, On difference convexity of locally Lipschitz functions

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