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A proximal point method for nonsmooth convex optimization problems in Banach spaces

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  • Y. I. Alber
  • R. S. Burachik
  • A. N. Iusem

Abstract

In this paper we show the weak convergence and stability of the proximal point method when applied to the constrained convex optimization problem in uniformly convex and uniformly smooth Banach spaces. In addition, we establish a nonasymptotic estimate of convergence rate of the sequence of functional values for the unconstrained case. This estimate depends on a geometric characteristic of the dual Banach space, namely its modulus of convexity. We apply a new technique which includes Banach space geometry, estimates of duality mappings, nonstandard Lyapunov functionals and generalized projection operators in Banach spaces.

Suggested Citation

  • Y. I. Alber & R. S. Burachik & A. N. Iusem, 1997. "A proximal point method for nonsmooth convex optimization problems in Banach spaces," Abstract and Applied Analysis, Hindawi, vol. 2, pages 1-24, January.
    • Handle: RePEc:hin:jnlaaa:614871
    DOI: 10.1155/S1085337597000298
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    Cited by:

    1. Elimhan N. Mahmudov, 2022. "Optimization of Higher-Order Differential Inclusions with Special Boundary Value Conditions," Journal of Optimization Theory and Applications, Springer, vol. 192(1), pages 36-55, January.

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