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• W2012204533 abstract "This survey contains recent developments for computing verified results of convex constrained optimization problems, with emphasis on applications. Especially, we consider the computation of verified error bounds for non-smooth convex conic optimization in the framework of functional analysis, for linear programming, and for semidefinite programming. A discussion of important problem transformations to special types of convex problems and convex relaxations is included. The latter are important for handling and for reliability issues in global robust and combinatorial optimization. Some remarks on numerical experiences, including also large-scale and ill-posed problems, and software for verified computations concludes this survey." @default.
• W2012204533 created "2016-06-24" @default.
• W2012204533 creator A5010637941 @default.
• W2012204533 date "2009-10-01" @default.
• W2012204533 modified "2023-10-18" @default.
• W2012204533 title "On verified numerical computations in convex programming" @default.
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• W2012204533 doi "https://doi.org/10.1007/bf03186539" @default.
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