SciELO - Scientific Electronic Library Online

vol.13 número3Sum and Difference Compositions in Discrete Fractional Calculus índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Cubo (Temuco)

versión On-line ISSN 0719-0646


VERMA, Ram U. Linear Convergence Analysis for General Proximal Point Algorithms Involving (H,η)- Mo   notonicity Frameworks. Cubo [online]. 2011, vol.13, n.3, pp. 185-196. ISSN 0719-0646.

General framework for the generalized proximal point algorithm, based on the notion of (H,r)- monotonicity, is developed. The linear convergence analysis for the generalized proximal point algorithm to the context of solving a class of nonlinear variational inclusions is examined, The obtained results generalize and unify a wide range of problems to the context of achieving the linear convergence for proximal point algorithms.

Palabras clave : General cocoerciveness; Variational inclusions; Maximal monotone mapping; (H,r) - monotone mapping; Generalized proximal point algorithm; Generalized resolvent operator..

        · resumen en Español     · texto en Inglés     · pdf en Inglés