Convergence results of two-step inertial proximal point algorithm
Optimization and Control (math.OC)
FOS: Mathematics
0211 other engineering and technologies
02 engineering and technology
Mathematics - Optimization and Control
90C25, 90C30, 90C60, 68Q25, 49M25, 90C22
DOI:
10.1016/j.apnum.2022.07.013
Publication Date:
2022-08-01T11:19:00Z
AUTHORS (2)
ABSTRACT
26 pages<br/>This paper proposes a two-point inertial proximal point algorithm to find zero of maximal monotone operators in Hilbert spaces. We obtain weak convergence results and non-asymptotic $O(1/n)$ convergence rate of our proposed algorithm in non-ergodic sense. Applications of our results to various well-known convex optimization methods, such as the proximal method of multipliers and the alternating direction method of multipliers are given. Numerical results are given to demonstrate the accelerating behaviors of our method over other related methods in the literature.<br/>
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (50)
CITATIONS (20)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....