Nonlinear Operators as Concerns Convex Programming and Applied to Signal Processing

• Main Authors: Anantachai Padcharoen, Pakeeta Sukprasert
• Format: Article
• Language: English
• Published: MDPI AG 2019-09-01
• Series: Mathematics
• Subjects: convexity; least square problem; accretive operators; signal processing
• Online Access: https://www.mdpi.com/2227-7390/7/9/866

Splitting methods have received a lot of attention lately because many nonlinear problems that arise in the areas used, such as signal processing and image restoration, are modeled in mathematics as a nonlinear equation, and this operator is decomposed as the sum of two nonlinear operators. Most investigations about the methods of separation are carried out in the Hilbert spaces. This work develops an iterative scheme in Banach spaces. We prove the convergence theorem of our iterative scheme, applications in common zeros of accretive operators, convexly constrained least square problem, convex minimization problem and signal processing.