In the setting of Hilbert spaces, we show that a hybrid steepest-descent algorithm converges strongly to a solution of a convex minimization problem over the fixed point set of a finite family of multivalued demicontractive mappings. We also provide numerical results concerning the viability of the proposed algorithm with possible applications.

 

 

Additional Information

Author(s)

 Khan, Muhammad Aqeel Ahmad,  Kumam, Poom , Arfat,Yasir, Cho, Yeol Je

DOI

https://doi.org/10.37193/CJM.2023.01.21