## Abstract

Given any maximal monotone operator A: D(A) ⊂ H → 2^{H} in a real Hilbert space H with A^{-1}(0) ≠ ∅, it is shown that the sequence of proximal iterates x_{n+1} = (I+ γ_{n}A)^{-1}(λ_{n}u + (1-λ_{n})(x_{n}+e_{n})) converges strongly to the metric projection of u on A^{-1}(0) for (e_{n}) bounded, λ_{n} ∈ (0,1) with λ_{n} → 1 and γ_{n} > 0 with γ_{n} → ∞ as n → ∞. In comparison with our previous paper (Boikanyo and Moroşanu in Optim Lett 4(4):635-641, 2010), where the error sequence was supposed to converge to zero, here we consider the classical condition that errors be bounded. In the case when A is the subdifferential of a proper convex lower semicontinuous function φ: H → (-∞,+∞] the algorithm can be used to approximate the minimizer of φ which is nearest to u.

Original language | English |
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Pages (from-to) | 415-420 |

Number of pages | 6 |

Journal | Optimization Letters |

Volume | 7 |

Issue number | 2 |

DOIs | |

Publication status | Published - Jan 1 2013 |

## All Science Journal Classification (ASJC) codes

- Control and Optimization