scholarly journals Stable strong and total parametrized dualities for DC optimization problems in locally convex spaces

2013 ◽  
Vol 9 (3) ◽  
pp. 669-685 ◽  
Author(s):  
Gang Li ◽  
Xiaoqi Yang ◽  
Yuying Zhou
Keyword(s):  
Optimization Problems ◽  
Locally Convex Spaces ◽  
Dc Optimization ◽  
Locally Convex ◽  
Convex Spaces

Characterizations of ɛ-duality gap statements for constrained optimization problems

2013 ◽  
Vol 11 (11) ◽  
Author(s):  
Horaţiu-Vasile Boncea ◽  
Sorin-Mihai Grad
Keyword(s):  
Constrained Optimization ◽  
Optimization Problems ◽  
Duality Gap ◽  
Regularity Conditions ◽  
Locally Convex Spaces ◽  
Zero Duality Gap ◽  
Constrained Optimization Problems ◽  
Locally Convex ◽  
Convex Spaces

AbstractIn this paper we present different regularity conditions that equivalently characterize various ɛ-duality gap statements (with ɛ ≥ 0) for constrained optimization problems and their Lagrange and Fenchel-Lagrange duals in separated locally convex spaces, respectively. These regularity conditions are formulated by using epigraphs and ɛ-subdifferentials. When ɛ = 0 we rediscover recent results on stable strong and total duality and zero duality gap from the literature.

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