Maximization of lower semi-continuous convex functionals on bounded subsets of locally convex spaces. II: Quasi-Lagrangian duality theorems
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Publication:1152311
DOI10.1007/BF03323359zbMath0459.90088MaRDI QIDQ1152311
Publication date: 1980
Published in: Results in Mathematics (Search for Journal in Brave)
maximizationbounded subsets of locally convex spacesFenchel-Rockafellar duality theoremhyperplane theoremslower semi-continuous convex functionalsquasi-Lagrangian duality theorems
Related Items (9)
Markuševič decompositions and quasireflexivity of Banach spaces ⋮ On minima of the difference of functions ⋮ Concave duality: Application to problems dealing with difference of functions ⋮ Maximization of lower semi-continuous convex functionals on bounded subsets of locally convex spaces. I: Hyperplane theorems ⋮ Duality theorems for linear systems and convex systems ⋮ The conjugate of a difference of functions defined on different spaces ⋮ The approximate Jordan forms of operators on \(\Sigma \) type Banach spaces ⋮ The conjugate of the difference of convex functions ⋮ Surrogate dual problems and surrogate Lagrangians
Cites Work
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- Maximization of lower semi-continuous convex functionals on bounded subsets of locally convex spaces. I: Hyperplane theorems
- Generalizations of methods of best approximation to convex optimization in locally convex spaces. II: hyperbolic theorems
- Extension of Fenchel's duality theorem for convex functions
- Some new applications of the Fenchel-Rockafellar duality theorem: Lagrange multiplier theorems and hyperplane theorems for convex optimization and best approximation
- A Fenchel-Rockafellar type duality theorem for maximization
- Convex Analysis
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