
The aim of this work is to propose viscosity approximation methods which amounts to selecting a particular fixed-point of a given nonexpansive self-mapping.
convex optimization, penalty method, Applied Mathematics, nonexpansive mappings, contraction, viscosity principles for optimization problems, Yosida approximate, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Variational inequalities, nonexpansive mapping, monotone inclusion, Fixed-point theorems, fixed point approximation, iterative method, monotone operator, Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc., inclusions for monotone operators, fixed-point, Analysis
convex optimization, penalty method, Applied Mathematics, nonexpansive mappings, contraction, viscosity principles for optimization problems, Yosida approximate, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Variational inequalities, nonexpansive mapping, monotone inclusion, Fixed-point theorems, fixed point approximation, iterative method, monotone operator, Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc., inclusions for monotone operators, fixed-point, Analysis
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