Strong Fenchel Duality For Evenly Convex Optimization Problems
被引:1
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作者:
Majeed, Saba Naser
论文数: 0引用数: 0
h-index: 0
机构:
Univ Baghdad, Coll Educ Pure Sci Ibn Al Haitham, Dept Math, Baghdad, IraqUniv Baghdad, Coll Educ Pure Sci Ibn Al Haitham, Dept Math, Baghdad, Iraq
Majeed, Saba Naser
[1
]
机构:
[1] Univ Baghdad, Coll Educ Pure Sci Ibn Al Haitham, Dept Math, Baghdad, Iraq
来源:
JOURNAL OF APPLIED SCIENCE AND ENGINEERING
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2023年
/
26卷
/
12期
关键词:
evenly convex set and function;
c-conjugate function;
e- c-subdifferentiability of a function;
Fenchel duality;
D O I:
10.6180/jase.202312_26(12).0004
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Among a variety of approaches introduced in the literature to establish duality theory, Fenchel duality was of great importance in convex analysis and optimization. In this paper we establish some conditions to obtain classical strong Fenchel duality for evenly convex optimization problems defined in infinite dimensional spaces. The objective function of the primal problem is a family of (possible) infinite even convex functions. The strong duality conditions we present are based on the consideration of the epigraphs of the c-conjugate of the dual objective functions and the e-c-subdifferential of the primal objective functions.