New inertial relaxed method for solving split feasibilities
Yekini Shehu, Aviv Gibali
Abstract
Abstract In this paper, we introduce a relaxed CQ method with alternated inertial step for solving split feasibility problems. We give convergence of the sequence generated by our method under some suitable assumptions. Some numerical implementations from sparse signal and image deblurring are reported to show the efficiency of our method.
Topics & Concepts
DeblurringImplementationInertial frame of referenceConvergence (economics)Image (mathematics)Computer scienceComputational intelligenceSequence (biology)AlgorithmMathematical optimizationMathematicsImage processingArtificial intelligenceImage restorationProgramming languageEconomicsEconomic growthPhysicsBiologyQuantum mechanicsGeneticsOptimization and Variational AnalysisSparse and Compressive Sensing TechniquesAdvanced Optimization Algorithms Research