Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization (Applied Optimization) - Softcover

Butnariu, D.; Iusem, A.N.

Softcover

ISBN 10: 9401057885 ISBN 13: 9789401057882

Publisher: Springer, 2012

Synopsis

The aim of this work is to present in a unified approach a series of results concerning totally convex functions on Banach spaces and their applications to building iterative algorithms for computing common fixed points of mea­ surable families of operators and optimization methods in infinite dimen­ sional settings. The notion of totally convex function was first studied by Butnariu, Censor and Reich [31] in the context of the space lRR because of its usefulness for establishing convergence of a Bregman projection method for finding common points of infinite families of closed convex sets. In this finite dimensional environment total convexity hardly differs from strict convexity. In fact, a function with closed domain in a finite dimensional Banach space is totally convex if and only if it is strictly convex. The relevancy of total convexity as a strengthened form of strict convexity becomes apparent when the Banach space on which the function is defined is infinite dimensional. In this case, total convexity is a property stronger than strict convexity but weaker than locally uniform convexity (see Section 1.3 below). The study of totally convex functions in infinite dimensional Banach spaces was started in [33] where it was shown that they are useful tools for extrapolating properties commonly known to belong to operators satisfying demanding contractivity requirements to classes of operators which are not even mildly nonexpansive.

Edition details

• Publisher: Springer
• Publication date: 2012
• ISBN 10: 9401057885
• ISBN 13: 9789401057882
• Binding: Paperback
• Language: English
• Number of pages: 221