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Shrinking Projection Methods for Accelerating Relaxed Inertial Tseng-Type Algorithm with Applications

Hasanen A. Hammad, Habib ur Rehman and Manuel De la Sen

Mathematical Problems in Engineering, 2020, vol. 2020, 1-14

Abstract:

Our main goal in this manuscript is to accelerate the relaxed inertial Tseng-type (RITT) algorithm by adding a shrinking projection (SP) term to the algorithm. Hence, strong convergence results were obtained in a real Hilbert space (RHS). A novel structure was used to solve an inclusion and a minimization problem under proper hypotheses. Finally, numerical experiments to elucidate the applications, performance, quickness, and effectiveness of our procedure are discussed.

Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:7487383

DOI: 10.1155/2020/7487383

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