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Multi-step iterative algorithm for minimization and fixed point problems in p-uniformly convex metric spaces

Kazeem Olalekan Aremu, Chinedu Izuchukwu, Grace Ogwo, Oluwatosin Temitope Mewomo

2020Journal of Industrial and Management Optimization33 citationsDOIOpen Access PDF

Abstract

In this paper, we propose and study a multi-step iterative algorithm that comprises of a finite family of asymptotically $ k_i $-strictly pseudocontractive mappings with respect to $ p, $ and a $ p $-resolvent operator associated with a proper convex and lower semicontinuous function in a $ p $-uniformly convex metric space. Also, we establish the $ \Delta $-convergence of the proposed algorithm to a common fixed point of finite family of asymptotically $ k_i $-strictly pseudocontractive mappings which is also a minimizer of a proper convex and lower semicontinuous function. Furthermore, nontrivial numerical examples of our algorithm are given to show its applicability. Our results complement a host of recent results in literature.

Topics & Concepts

MathematicsFixed pointConvex functionResolventConvergence (economics)Regular polygonConvex combinationMetric spaceConvex metric spaceMetric (unit)Complement (music)Convex optimizationFunction (biology)Iterative methodApplied mathematicsAlgorithmMathematical optimizationDiscrete mathematicsPure mathematicsMathematical analysisEvolutionary biologyOperations managementBiologyPhenotypeBiochemistryChemistryGeneGeometryEconomic growthEconomicsComplementationOptimization and Variational AnalysisFixed Point Theorems AnalysisAdvanced Optimization Algorithms Research