Active‐Set Newton Methods and Partial Smoothness
Keyword(s):
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.
Keyword(s):
2015 ◽
Vol 37
(5)
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pp. S472-S502
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Keyword(s):
2012 ◽
Vol 29
(3)
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pp. 999-1030
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Keyword(s):
1985 ◽
Vol 13
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pp. 157-170
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1994 ◽
Vol 29
(2)
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pp. 161-186
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1988 ◽
Vol 15
(3)
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pp. 175-184
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