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Asymptotic Convergence Analysis of the Proximal Point Algorithm
Open accessAbstract
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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Cited by
Parikh, N., & Boyd, S. (2014) · Foundations and Trends® in Optimization · doi:10.1561/2400000003 · Cited by 4,102
Error bounds in mathematical programming
Pang, J.-S. (1997) · Mathematical Programming · doi:10.1007/bf02614322 · Cited by 441
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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