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Volume 2, Issue 3, 31 December 2020, Pages 279-295
Abstract. This paper investigates the problem of a variational inclusion problem via an inertial self-adaptive splitting algorithm. A solution theorem of the strong convergence is obtained in the framework of real Hilbert spaces. The effectiveness of our algorithm is validated via numerical examples.
How to Cite this Article:
Yinglin Luo, An inertial splitting algorithm for solving inclusion problems and its applications to compressed sensing, J. Appl. Numer. Optim. 2 (2020), 279-295.