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The iterative algorithm with inertial and error terms for fixed points of strictly pseudocontractive mappings and zeros of inverse strongly monotone operators
Applied Set-Valued Analysis and Optimization
We study a Halpern-type algorithm with both inertial and error terms for the approximation of fixed points of strictly pseudocontractive mappings and zeros of inverse strongly monotone operators in real Hilbert spaces. Our algorithm is illustrated via numerical examples in both finite and infinite dimensional real Hilbert spaces. Our results extend recent results of [Y. Shehu, O.S. Iyiola, F.U. Ogbuisi, Iterative method with inertial terms for nonexpansive mappings: applications to compresseddoi:10.23952/asvao.3.2021.1.08 fatcat:qvztpbnxrbhpjkjbhitvvket6m