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Asymptotic Convergence Analysis of the Proximal Point Algorithm

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Luque, Fernando Javier·1984·SIAM Journal on Control and Optimization

Abstract

The asymptotic convergence of the proximal point algorithm (PPA), for the solution of equations of type $0 \in Tz$, where T is a multivalued maximal monotone operator in a real Hilbert space, is analyzed. When $0 \in Tz$ has a nonempty solution set $\bar Z$, convergence rates are shown to depend on how rapidly $T^{ - 1} $ grows away from $\bar Z$ in a neighbourhood of 0. When this growth is bounded by a power function with exponent s, then for a sequence $\{ z^k \} $ generated by the PPA, $\{ | {z^k - \bar Z} |\} $ converges to zero, like $o(k^{ - {s / 2}} )$, linearly, superlinearly, or in a finite number of steps according to whether, $s \in (0,1)$, $s = 1$, $s \in (1, + \infty )$, or $s = + \infty $.

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Metadata

Authors
Luque, F. J.
Venue
SIAM Journal on Control and Optimization
Published
1984-03
Volume
22
Issue
2
Pages
277-293
ISSN
  • 0363-0129 (ISSN-L)
  • 1095-7138
OpenAlex
W2160068964
Cited by
164
References
0
FWCI
2.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Asymptotic Convergence Analysis of the Proximal Point Algorithm. https://app.cochat.ai/papers/10.1137/0322019
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Luque, F. J. (1984). Asymptotic Convergence Analysis of the Proximal Point Algorithm. SIAM Journal on Control and Optimization. https://doi.org/10.1137/0322019

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