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• W2912561374 abstract "Diverse optimization algorithms correctly identify, in finite time, intrinsic constraints that must be active at optimality. Analogous behavior extends beyond optimization to systems involving partly smooth operators, and in particular to variational inequalities over partly smooth sets. As in classical nonlinear programming, such active-set structure underlies the design of accelerated local algorithms of Newton type. We formalize this idea in broad generality as a simple linearization scheme for two intersecting manifolds." @default.
• W2912561374 created "2019-02-21" @default.
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• W2912561374 creator A5081400874 @default.
• W2912561374 date "2019-02-02" @default.
• W2912561374 modified "2023-09-27" @default.
• W2912561374 title "Active-set Newton methods and partial smoothness" @default.
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• W2912561374 hasPublicationYear "2019" @default.
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