Robust convex optimization: A new perspective that unifies and extends
Abstract Robust convex constraints are difficult to handle, since finding the worst-case scenario is equivalent to maximizing a convex function. In this paper, we propose a new approach to deal with such constraints that unifies most approaches known in the literature and extends them i...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2022
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Online Access: | https://hdl.handle.net/1721.1/145481 |