Abstract
In this paper, existence and characterization of solutions and duality aspects of infinite-dimensional convex programming problems are examined. Applications of the results to constrained approximation problems are considered. Various duality properties for constrained interpolation problems over convex sets are established under general regularity conditions. The regularity conditions are shown to hold for many constrained interpolation problems. Characterizations of local proximinal sets and the set of best approximations are also given in normed linear spaces.
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Communicated by F. Giannessi
The author is grateful to the referee for helpful suggestions which have contributed to the final preparation of this paper. This research was partially supported by Grant A68930162 from the Australian Research Council.
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Jeyakumar, V. Infinite-dimensional convex programming with applications to constrained approximation. J Optim Theory Appl 75, 569–586 (1992). https://doi.org/10.1007/BF00940493
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DOI: https://doi.org/10.1007/BF00940493